Triple
T9794347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden Chiles |
E237681
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chiles |
E706179
|
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: Chiles | Statement: [Linden Chiles, familyName, Chiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiles Context triple: [Linden Chiles, familyName, Chiles]
-
A.
Chiles
chosen
Chiles is the surname of Lawton Chiles, a prominent American politician who served as a U.S. Senator and Governor of Florida.
-
B.
Cholula
Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
-
C.
Chile Chico
Chile Chico is a small town in southern Chile’s Aysén Region, known for its mild microclimate, fruit production, and location on the southern shore of General Carrera Lake near the Argentine border.
-
D.
Piñas
Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
-
E.
Topolobampo
Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:28 p.m.