Triple
T1190597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prairie |
E25348
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Fort Worth |
E14111
|
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: Fort Worth | Statement: [Grand Prairie, borderedBy, Fort Worth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Worth Context triple: [Grand Prairie, borderedBy, Fort Worth]
-
A.
Fort Worth, Texas
chosen
Fort Worth, Texas is a major city in North Texas known for its historic Western heritage, cultural districts, and role as a key economic and transportation hub in the Dallas–Fort Worth metroplex.
-
B.
Denton
Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
-
C.
Denton
Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
-
D.
Grand Prairie
Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
-
E.
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.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f38ecc488190a2f7f66f5ae27477 |
completed | March 12, 2026, 5:10 p.m. |
Created at: March 1, 2026, 7:45 p.m.