Triple
T21501940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quezon Province |
E530495
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | San Andres |
—
|
NE NERFINISHED |
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 Andres | Statement: [Quezon Province, hasMunicipality, San Andres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Andres Context triple: [Quezon Province, hasMunicipality, San Andres]
-
A.
San Andres
San Andres is a coastal municipality in the province of Romblon in the Philippines, known for its island scenery and rural communities.
-
B.
San Andres
San Andres is a district in Manila, Philippines, known as a densely populated residential and commercial area within the city.
-
C.
San Andres
San Andres is a coastal municipality in the island province of Catanduanes in the Philippines, known for its rural communities and access to Pacific shorelines.
-
D.
San Andres
chosen
San Andres is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and rural seaside communities.
-
E.
San Andrés
San Andrés is a lakeside town in Guatemala situated on the shores of Lake Petén Itzá, known for its proximity to Mayan archaeological sites and natural attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.