Triple
T4494460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William P. Hobby Airport |
E100659
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Houston |
E15847
|
NE FINISHED |
How this triple was built (2 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: City of Houston | Statement: [William P. Hobby Airport, owner, City of Houston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Houston Context triple: [William P. Hobby Airport, owner, City of Houston]
-
A.
Houston
chosen
Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
-
B.
Houston
Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
-
C.
Downtown Houston
Downtown Houston is the central business district and urban core of Houston, Texas, known for its skyscrapers, entertainment venues, and major sports arenas.
-
D.
Dallas, Texas
Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
-
E.
Baytown, Texas
Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5572c60881909101b4e65dd5de06 |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b069d3fc8190bac9d178a571b72d |
completed | March 23, 2026, 3:15 a.m. |
Created at: March 20, 2026, 1 p.m.