Triple
T3540320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Logohu |
E74867
|
entity |
| Predicate | hasPostNominalLetters |
P1804
|
FINISHED |
| Object |
ML
ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
|
E366825
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ML | Statement: [Order of Logohu, hasPostNominalLetters, ML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ML Context triple: [Order of Logohu, hasPostNominalLetters, ML]
-
A.
ML
ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
-
B.
ML
ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
-
C.
MS in Machine Learning
MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
-
D.
.ai
.ai is the country code top-level domain (ccTLD) associated with Anguilla that has become popular worldwide for artificial intelligence-related websites.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ML Triple: [Order of Logohu, hasPostNominalLetters, ML]
Generated description
ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ML Target entity description: ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
-
A.
ML
ML is a statically typed functional programming language developed at the University of Edinburgh, known for pioneering features like type inference, pattern matching, and modules that strongly influenced later languages such as Elm, Haskell, and OCaml.
-
B.
ML
ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
-
C.
MS in Machine Learning
MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
-
D.
.ai
.ai is the country code top-level domain (ccTLD) associated with Anguilla that has become popular worldwide for artificial intelligence-related websites.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbccbbb5c8190a951754dda5fc642 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd7fa3881909fee11cc6f4af7ea |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c9259f881908068961f4eaf11a0 |
completed | March 13, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38d04eb388190af64f990bac8d140 |
completed | March 13, 2026, 4:05 a.m. |
Created at: March 8, 2026, 3:20 p.m.