Triple
T14011152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua, Texas |
E337080
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Burleson, Texas |
E445812
|
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: Burleson, Texas | Statement: [Joshua, Texas, locatedNear, Burleson, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burleson, Texas Context triple: [Joshua, Texas, locatedNear, Burleson, Texas]
-
A.
Burleson, Texas
chosen
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
-
B.
Bullard, Texas
Bullard, Texas is a small town in East Texas that serves as a suburban community within the greater Tyler metropolitan area.
-
C.
New London, Texas
New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
-
D.
Burnet, Texas
Burnet, Texas is a small central Texas city known for its historic downtown, proximity to Highland Lakes, and role as a gateway to the Hill Country.
-
E.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bd1e5c8190a6a96581ce8a37de |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 9, 2026, 10:19 p.m.