Triple
T37803200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipo Dam |
E942434
|
entity |
| Predicate | catchmentAreaCountry |
P11816
|
FINISHED |
| Object | Philippines |
—
|
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: Philippines | Statement: [Ipo Dam, catchmentAreaCountry, Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchmentAreaCountry Context triple: [Ipo Dam, catchmentAreaCountry, Philippines]
-
A.
catchmentArea
Indicates the geographic area from which something (such as a facility, service, or natural feature) draws or collects people, resources, or water.
-
B.
hasCatchmentArea
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
C.
hasCatchmentAreaLocation
Indicates that a catchment area is geographically located in or associated with a specific place or region.
-
D.
hasCatchmentAreaSize
Indicates the size or extent of the geographic area from which something (e.g., a facility or service) draws its users, resources, or influence.
-
E.
countryOrRegion
chosen
Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.