Triple
T23319635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP Mérida |
E590815
|
entity |
| Predicate | stadiumLocation |
P40
|
FINISHED |
| Object | Mérida |
—
|
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: Mérida | Statement: [CP Mérida, stadiumLocation, Mérida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mérida Context triple: [CP Mérida, stadiumLocation, Mérida]
-
A.
Mérida
Mérida is the capital and largest city of the Mexican state of Yucatán, known for its rich Mayan and colonial heritage and its role as a cultural and economic hub of the Yucatán Peninsula.
-
B.
Mérida
chosen
Mérida is a historic city in western Spain renowned for its exceptionally well-preserved Roman archaeological sites, including a theater, amphitheater, and bridge.
-
C.
Mérida
Mérida is a city in the Venezuelan Andes known for its mountainous surroundings, cool climate, and role as a gateway to the country’s highest peaks.
-
D.
Merida
Merida is a coastal municipality in the province of Leyte in the Philippines, known for its agricultural economy and scenic seaside and rural landscapes.
-
E.
Merida
Merida is a headstrong Scottish princess and skilled archer from Disney-Pixar's animated film "Brave," known for defying tradition to control her own destiny.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.