Triple
T6847591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galang Refugee Camp |
E157935
|
entity |
| Predicate | hostedPopulationType |
P72572
|
FINISHED |
| Object | Indochinese boat people |
—
|
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: Indochinese boat people | Statement: [Galang Refugee Camp, hostedPopulationType, Indochinese boat people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedPopulationType Context triple: [Galang Refugee Camp, hostedPopulationType, Indochinese boat people]
-
A.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
hadPopulationType
Indicates that an entity possessed a particular classification or type of population during a given time or context.
-
C.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by another entity.
-
D.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
E.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cd0e64819097c9c211df8bce54 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:20 p.m.