Triple
T11070911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Lakandula |
E261741
|
entity |
| Predicate | hasPostNominalLetters |
P1804
|
FINISHED |
| Object |
OLL
OLL is the post-nominal abbreviation used by recipients of the Order of Lakandula, one of the highest civilian honors in the Philippines.
|
E903289
|
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: OLL | Statement: [Order of Lakandula, hasPostNominalLetters, OLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OLL Context triple: [Order of Lakandula, hasPostNominalLetters, OLL]
-
A.
OOL
OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
-
B.
OLY
OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
-
C.
OLE
OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
-
D.
OL
OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
-
E.
OL
OL is the official abbreviation for the Order of Luthuli, a South African national honor awarded for exceptional contributions to democracy, human rights, and nation-building.
- 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: OLL Triple: [Order of Lakandula, hasPostNominalLetters, OLL]
Generated description
OLL is the post-nominal abbreviation used by recipients of the Order of Lakandula, one of the highest civilian honors in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OLL Target entity description: OLL is the post-nominal abbreviation used by recipients of the Order of Lakandula, one of the highest civilian honors in the Philippines.
-
A.
OOL
OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
-
B.
OLY
OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
-
C.
OLE
OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
-
D.
OL
OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
-
E.
OL
OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79922e48c81909adb161e66f47474 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8bfb0c88190be27f5ce09b02c8b |
completed | April 18, 2026, 6:09 p.m. |
| NEDg | Description generation | batch_69e3cae07b648190b4c0d2514712d6bd |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf1f508c81909b4ca8131b7fc9ee |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:26 p.m.