Triple
T9704649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Texas |
E234867
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nacogdoches |
E134186
|
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: Nacogdoches | Statement: [Spanish Texas, contains, Nacogdoches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nacogdoches Context triple: [Spanish Texas, contains, Nacogdoches]
-
A.
Nacogdoches, Texas
chosen
Nacogdoches, Texas is a historic East Texas city often regarded as the oldest town in the state and known for its early role in Texas history.
-
B.
Saltillo
Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
-
C.
Corsicana
Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
-
D.
Edinburg
Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
-
E.
Santa Fe, Texas
Santa Fe, Texas is a small city in Galveston County known for its rural character and location 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d74afb4819084174aab5bcdb6e0 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af93b76c81908377f17956fb86b1 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:18 p.m.