Triple
T18810244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watrous, New Mexico |
E459992
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | La Junta |
—
|
NE NERFINISHED |
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: La Junta | Statement: [Watrous, New Mexico, formerName, La Junta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Junta Context triple: [Watrous, New Mexico, formerName, La Junta]
-
A.
La Junta
chosen
La Junta is a small city in southeastern Colorado known historically as a railroad and trading hub near the Arkansas River.
-
B.
La Mesilla
La Mesilla is a Guatemalan town near the Mexican border that serves as a key regional crossing point for trade and travel.
-
C.
Terriente
Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
-
D.
El Fuerte
El Fuerte is a historic colonial town and municipality in northern Sinaloa, Mexico, known for its Spanish-era architecture and role as a gateway to the Copper Canyon.
-
E.
Blanquillos
Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3db38ec8190ab5bef15bc6789be |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.