Triple
T5847385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batasang Pambansa |
E129744
|
entity |
| Predicate | meetsInBuildingCompleted |
P37991
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Batasang Pambansa, meetsInBuildingCompleted, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsInBuildingCompleted Context triple: [Batasang Pambansa, meetsInBuildingCompleted, 1978]
-
A.
hasCheckInBuilding
Indicates that an entity has performed a check-in event within a specified building.
-
B.
tookPlaceInBuilding
chosen
Indicates that an event or action occurred within the physical premises of a specific building.
-
C.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
D.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
-
E.
appliedToBuilding
Indicates that something (such as a process, treatment, regulation, or attribute) is directed toward, implemented on, or otherwise affects a building.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.