Triple
T14298967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micalet |
E354510
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | El Miguelete |
E354511
|
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: El Miguelete | Statement: [Micalet, alsoKnownAs, El Miguelete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Miguelete Context triple: [Micalet, alsoKnownAs, El Miguelete]
-
A.
El Miguelete
chosen
El Miguelete is the iconic Gothic bell tower of Valencia, Spain, renowned as a symbol of the city and a popular viewpoint over its historic center.
-
B.
La Mojonera
La Mojonera is a municipality in Spain’s Almería province, notable for its extensive greenhouse agriculture within the so‑called “Sea of Plastic” region.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
La Blanquilla
La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
-
E.
La Malagueña
"La Malagueña" is a famous traditional Mexican song, often performed in mariachi style, known for its dramatic melody and demanding vocal range.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4682f86881908c9fb210bb9e486a |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:11 a.m.