Triple
T604660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baylor University |
E11568
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Waco, Texas |
E97168
|
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: Waco, Texas | Statement: [Baylor University, locatedIn, Waco, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waco, Texas Context triple: [Baylor University, locatedIn, Waco, Texas]
-
A.
Waco, Texas
chosen
Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
-
B.
Uvalde, Texas
Uvalde, Texas is a small city in South Texas known historically as a ranching and agricultural center and as the longtime home of U.S. Vice President John Nance Garner.
-
C.
Fort Worth, Texas
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.
-
D.
Texarkana, Texas
Texarkana, Texas is a border city in northeastern Texas, adjacent to Texarkana, Arkansas, known as a regional transportation and commercial hub.
-
E.
McKinney, Texas
McKinney, Texas is a rapidly growing suburban city in North Texas known for its historic downtown and high quality of life within the greater Dallas–Fort Worth 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc67b248190b0bb195553f03be8 |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f5d714c819093dfb8c3da35da4f |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:35 p.m.