Triple
T7737191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrell Municipal Airport |
E175412
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Terrell |
E243614
|
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 Terrell | Statement: [Terrell Municipal Airport, owner, City of Terrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Terrell Context triple: [Terrell Municipal Airport, owner, City of Terrell]
-
A.
City of Terrell Hills
The City of Terrell Hills is a small, affluent residential municipality located within the San Antonio metropolitan area in Bexar County, Texas.
-
B.
Terrell, Texas
chosen
Terrell, Texas is a small city in North Texas known for its historic downtown, proximity to Dallas, and role as a regional commercial and educational hub.
-
C.
City of Lamar
City of Lamar is a municipal government in Lamar, Colorado, responsible for providing local services, infrastructure, and governance to the community.
-
D.
Tarleton village
Tarleton village is a rural community in Lancashire, England, known for its agricultural surroundings and location near key regional road links.
-
E.
Pecan Hill, Texas
Pecan Hill, Texas is a small rural city located in Ellis County within the Dallas–Fort Worth metropolitan area.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035a97688190bf93efeee2e365ec |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3958ac8190a48ba07bd8ea3251 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:07 p.m.