Triple
T14136421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guayas metropolitan area |
E350306
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Santa Lucía |
E250936
|
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: Santa Lucía | Statement: [Guayas metropolitan area, hasPart, Santa Lucía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Lucía Context triple: [Guayas metropolitan area, hasPart, Santa Lucía]
-
A.
Santa Lucía
Santa Lucía is a picturesque colonial-era town in central Honduras known for its cobblestone streets, historic church, and scenic views near the capital, Tegucigalpa.
-
B.
Santa Lucía
chosen
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
C.
Fernandina de Jagua
Fernandina de Jagua was the original colonial name of the Cuban city now known as Cienfuegos, an important port on the island’s southern coast.
-
D.
San Andres
San Andres is a coastal municipality in the province of Romblon in the Philippines, known for its island scenery and rural communities.
-
E.
San Andres
San Andres is a district in Manila, Philippines, known as a densely populated residential and commercial area within the city.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:18 a.m.