Triple
T15326773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Lodge of Theosophists |
E366430
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ULT
ULT is a worldwide association of students dedicated to the study and dissemination of Theosophy as presented in the writings of H. P. Blavatsky and William Q. Judge.
|
E1149463
|
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: ULT | Statement: [United Lodge of Theosophists, abbreviation, ULT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ULT Context triple: [United Lodge of Theosophists, abbreviation, ULT]
-
A.
UAL
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
-
B.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
C.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
D.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
E.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
- 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: ULT Triple: [United Lodge of Theosophists, abbreviation, ULT]
Generated description
ULT is a worldwide association of students dedicated to the study and dissemination of Theosophy as presented in the writings of H. P. Blavatsky and William Q. Judge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ULT Target entity description: ULT is a worldwide association of students dedicated to the study and dissemination of Theosophy as presented in the writings of H. P. Blavatsky and William Q. Judge.
-
A.
UAL
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
-
B.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
C.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
D.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
E.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8add7088190b124bd4727bb2f28 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9ed514081909a54da584dff7e5c |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa72f9cc819089550217ea7c7d6e |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.