Triple
T2647802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Texas |
E53824
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | El Paso |
E16599
|
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: El Paso | Statement: [West Texas, contains, El Paso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Paso Context triple: [West Texas, contains, El Paso]
-
A.
El Paso
chosen
El Paso is a large border city in far western Texas known for its strong cultural ties with Mexico and its role as a major economic and transportation hub in the region.
-
B.
El Paso
El Paso is a municipality on the Spanish island of La Palma in the Canary Islands, known for its volcanic landscapes and proximity to the Cumbre Vieja ridge.
-
C.
Ciudad Juárez
Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
-
D.
Albuquerque
Albuquerque is the largest city in New Mexico, known for its high desert landscape, multicultural heritage, and institutions like the University of New Mexico.
-
E.
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.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce812640819085c46f7452b5913b |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.