Triple
T13073762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondragon |
E329518
|
entity |
| Predicate | hasCoastalBarangays |
P108302
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mondragon, hasCoastalBarangays, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastalBarangays Context triple: [Mondragon, hasCoastalBarangays, true]
-
A.
hasIslandBarangays
Indicates that a locality or administrative unit possesses barangays that are located on islands.
-
B.
hasCoastalMunicipalities
Indicates that a region or higher-level area includes one or more municipalities that are located along a sea or ocean coastline.
-
C.
hasNumberOfBarangays
Indicates the total count of barangays associated with a given administrative unit or locality.
-
D.
hasCoastalDistrict
Indicates that an administrative region or area includes at least one district that borders a sea or ocean.
-
E.
hasCoastalSection
Indicates that a geographic entity includes at least one section of land that directly borders a sea or ocean.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 9 p.m.