Triple
T38308858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poblacion, Morong, Bataan |
E1033629
|
entity |
| Predicate | centralBarangayOf |
P196771
|
FINISHED |
| Object | Morong, Bataan |
—
|
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: Morong, Bataan | Statement: [Poblacion, Morong, Bataan, centralBarangayOf, Morong, Bataan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralBarangayOf Context triple: [Poblacion, Morong, Bataan, centralBarangayOf, Morong, Bataan]
-
A.
isUrbanBarangay
Indicates that a given barangay is classified as urban rather than rural.
-
B.
traversesBarangay
Indicates that something (such as a route, path, or boundary) passes through or crosses a specific barangay.
-
C.
barangay
Indicates that an entity is associated with, located in, or falls under the jurisdiction of a specific barangay (the smallest local administrative division).
-
D.
hasUrbanBarangays
Indicates that a place or administrative unit possesses one or more barangays classified as urban.
-
E.
hasNearbyBarangay
Indicates that one barangay is located close to or in the immediate vicinity of another 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69fe673905408190a2ae68c2c9563403 |
completed | May 8, 2026, 10:44 p.m. |
Created at: May 3, 2026, 4:30 p.m.