Triple
T19765039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Viga |
E474730
|
entity |
| Predicate | hasAdjacentStationOnLine8 |
P137236
|
FINISHED |
| Object | Coyuya |
—
|
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: Coyuya | Statement: [La Viga, hasAdjacentStationOnLine8, Coyuya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coyuya Context triple: [La Viga, hasAdjacentStationOnLine8, Coyuya]
-
A.
Coyuya
chosen
Coyuya is a Mexico City Metro station serving the eastern part of the city on Line 8.
-
B.
Cuyonon
Cuyonon is an Austronesian language spoken primarily by the Cuyonon people of Palawan and nearby islands in the Philippines.
-
C.
Coyo
Coyo is an archaeological site associated with the pre-Columbian San Pedro de Atacama culture in northern Chile’s Atacama Desert.
-
D.
Quappi
Quappi is the affectionate nickname of Mathilde von Kaulbach, the wife and frequent portrait subject of German painter Max Beckmann.
-
E.
Koonch
Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.