Triple
T6891542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harker Heights, Texas |
E159059
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Fort Cavazos |
E29240
|
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 Cavazos | Statement: [Harker Heights, Texas, near, Fort Cavazos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Cavazos Context triple: [Harker Heights, Texas, near, Fort Cavazos]
-
A.
Fort Cavazos
chosen
Fort Cavazos is a major U.S. Army installation in Texas that serves as a key training and operational base for armored and mechanized forces.
-
B.
Fort Sam Houston
Fort Sam Houston is a major U.S. Army installation in San Antonio, Texas, known for its historic role in military training, command, and medical operations.
-
C.
Fort Bliss
Fort Bliss is a major United States Army installation in West Texas and New Mexico, known for air defense artillery training and extensive desert training grounds.
-
D.
Boyington
Boyington is a surname most notably associated with American architect William W. Boyington, known for designing prominent 19th-century buildings in Chicago.
-
E.
Presidio, Texas
Presidio, Texas is a small border city in far West Texas situated along the Rio Grande across from Ojinaga, Mexico.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92ecbdc8190992f9c7f4f33f4c4 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775348f6081909fb869dae0237ca9 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:24 p.m.