Triple
T13208948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Princesa |
E314436
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Palawan |
E190594
|
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: Palawan | Statement: [Puerto Princesa, locatedIn, Palawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palawan Context triple: [Puerto Princesa, locatedIn, Palawan]
-
A.
Palawan
chosen
Palawan is a large island province in the western Philippines known for its stunning limestone cliffs, clear turquoise waters, rich marine biodiversity, and popular ecotourism destinations like El Nido and Puerto Princesa.
-
B.
Yap State
Yap State is one of the four constituent states of the Federated States of Micronesia, known for its traditional stone money and rich Micronesian cultural heritage.
-
C.
Tawi-Tawi
Tawi-Tawi is the Philippines’ southernmost island province, known for its predominantly Muslim population, rich maritime culture, and proximity to Malaysia and Indonesia.
-
D.
Romblon
Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
-
E.
Dinagat Islands
Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5da6a2081909dcc9785598e1196 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 9, 2026, 9:17 p.m.