Triple
T14604395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mérida Province |
E342789
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mérida |
E223852
|
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: Mérida | Statement: [Mérida Province, namedAfter, Mérida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mérida Context triple: [Mérida Province, namedAfter, 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 headstrong Scottish princess and skilled archer from Disney-Pixar's animated film "Brave," known for defying tradition to control her own destiny.
-
E.
Guadalajara
Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91d05e48190ac945e381d6d5dd9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.