Triple
T5288950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuente de las Ranas |
E119693
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | San Ildefonso |
E22599
|
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: San Ildefonso | Statement: [Fuente de las Ranas, locatedIn, San Ildefonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Ildefonso Context triple: [Fuente de las Ranas, locatedIn, San Ildefonso]
-
A.
San Ildefonso
San Ildefonso is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its farming-based economy and growing residential communities.
-
B.
San Ildefonso
chosen
San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
San Policarpo
San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
-
E.
Hinojosa
Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84dcd6908190b35bf9c371965bc9 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06ecf4748190ab2bdd672f4ab14d |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.