Triple
T461460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baylor Lady Bears basketball |
E7347
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Waco |
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 | Statement: [Baylor Lady Bears basketball, homeCity, Waco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waco Context triple: [Baylor Lady Bears basketball, homeCity, Waco]
-
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.
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.
-
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.
Richmond, Texas
Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
-
E.
Austin
Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79277143c819091019a9ca625039f |
completed | March 4, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.