Triple
T38669420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavierville |
E940539
|
entity |
| Predicate | belongsToBarangay |
P202293
|
FINISHED |
| Object | Loyola Heights |
—
|
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: Loyola Heights | Statement: [Xavierville, belongsToBarangay, Loyola Heights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToBarangay Context triple: [Xavierville, belongsToBarangay, Loyola Heights]
-
A.
centralBarangayOf
Indicates that a barangay serves as the central or main administrative area of a larger locality or jurisdiction.
-
B.
hasBarangayCaptain
Indicates that an entity has a specific person serving as its barangay captain (local community leader).
-
C.
hasNearbyBarangay
Indicates that one barangay is located close to or in the immediate vicinity of another barangay.
-
D.
isUrbanBarangay
Indicates that a given barangay is classified as urban rather than rural.
-
E.
traversesBarangay
Indicates that something (such as a route, path, or boundary) passes through or crosses a specific barangay.
- F. None of above. chosen
Provenance (4 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_6a006ef80ce88190b5e3a2b261409d44 |
completed | May 10, 2026, 11:41 a.m. |
Created at: May 3, 2026, 4:33 p.m.