Triple
T4494448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William P. Hobby Airport |
E100659
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HOU
HOU is the three-letter IATA airport code for William P. Hobby Airport in Houston, Texas.
|
E15847
|
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: HOU | Statement: [William P. Hobby Airport, IATAcode, HOU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOU Context triple: [William P. Hobby Airport, IATAcode, HOU]
-
A.
Houston
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.
Hou
Hou is a Chinese surname and given name that can represent various historical figures, modern individuals, and fictional characters depending on context.
-
D.
KIAH
KIAH is the ICAO airport code for George Bush Intercontinental Airport, a major international airport serving the Houston, Texas metropolitan area.
-
E.
Dallas
Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
- 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: HOU Triple: [William P. Hobby Airport, IATAcode, HOU]
Generated description
HOU is the three-letter IATA airport code for William P. Hobby Airport in Houston, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOU Target entity description: HOU is the three-letter IATA airport code for William P. Hobby Airport in Houston, Texas.
-
A.
Houston
Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
-
B.
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.
-
C.
Hou
Hou is a Chinese surname and given name that can represent various historical figures, modern individuals, and fictional characters depending on context.
-
D.
KIAH
KIAH is the ICAO airport code for George Bush Intercontinental Airport, a major international airport serving the Houston, Texas metropolitan area.
-
E.
Dallas
Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
- F. None of above.
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_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_69bd67ba4d4881909fe32902507bcbe3 |
completed | March 20, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69bd68d76cfc819083071015add540dc |
completed | March 20, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd698f0f148190ae3ad5193cba0851 |
completed | March 20, 2026, 3:36 p.m. |
Created at: March 20, 2026, 1 p.m.