Triple
T13073447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capul |
E329510
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Zone 2 Poblacion |
E1021043
|
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: Zone 2 Poblacion | Statement: [Capul, hasBarangay, Zone 2 Poblacion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zone 2 Poblacion Context triple: [Capul, hasBarangay, Zone 2 Poblacion]
-
A.
Zone 1 Poblacion
chosen
Zone 1 Poblacion is an urban barangay and primary town center area within the municipality of Capul in the Philippines.
-
B.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
-
C.
Polanquito area
Polanquito area is a trendy, upscale micro-neighborhood in Mexico City known for its lively restaurants, cafés, and nightlife within the larger Polanco district.
-
D.
Poblacion
Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
-
E.
Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9 p.m.