Triple
T8645294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rosal |
E204757
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | El Rosal |
E204757
|
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 Rosal | Statement: [El Rosal, hasCapital, El Rosal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Rosal Context triple: [El Rosal, hasCapital, El Rosal]
-
A.
El Rosal
chosen
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
B.
Paloma Blanca
"Paloma Blanca" is a 1975 international hit pop song by Dutch singer George Baker, known for its light, cheerful melody and enduring popularity.
-
C.
El Arreglito
El Arreglito is a song by Spanish composer Sebastián Iradier whose melody later became famous worldwide as the basis for the "Habanera" aria in Bizet’s opera Carmen.
-
D.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
-
E.
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.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc479999c881908c0c4e01c07d02d4 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc42922c819099a464d2e347dec4 |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.