Triple
T25173919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pambansang Makasaysayang Tanawin ng Pilipinas |
E630394
|
entity |
| Predicate | isNativeLabelOf |
P657
|
FINISHED |
| Object | National Historical Landmark of the Philippines |
—
|
LITERAL 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: National Historical Landmark of the Philippines | Statement: [Pambansang Makasaysayang Tanawin ng Pilipinas, isNativeLabelOf, National Historical Landmark of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNativeLabelOf Context triple: [Pambansang Makasaysayang Tanawin ng Pilipinas, isNativeLabelOf, National Historical Landmark of the Philippines]
-
A.
isLabeledOn
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
B.
nativeLabel
chosen
Indicates the label or name of an entity expressed in its own native or original language.
-
C.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
D.
nativeOf
Indicates that an entity originates from or was born in a particular place, region, or country.
-
E.
hasEponymousLabel
Indicates that something is named after a particular person, place, or entity, serving as its eponym.
- F. None of above.
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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dbc6fec8190a2ceb4cd781e824d |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:21 p.m.