Triple
T21357295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conejos County |
E526667
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | La Jara |
—
|
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 Jara | Statement: [Conejos County, largestSettlement, La Jara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Jara Context triple: [Conejos County, largestSettlement, La Jara]
-
A.
La Jara
chosen
La Jara is a small town in southern Colorado that serves as the primary population and commercial center of Conejos County.
-
B.
Manuel del Campo
Manuel del Campo was a Mexican-born film editor and writer best known for his work in Hollywood and for being the second husband of actress Mary Astor.
-
C.
Messía de la Cerda
Messía de la Cerda is a Spanish noble family name historically associated with high-ranking military and colonial officials in the Spanish Empire.
-
D.
Esterillos
Esterillos is a coastal community in Costa Rica known for its long Pacific beaches and consistent surf breaks.
-
E.
La Nogalera
La Nogalera is a popular nightlife and entertainment district in Torremolinos, Spain, known for its vibrant bars, clubs, and LGBTQ+ scene.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa1a9b0819083a5a8f34c49d409 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.