Triple
T10543807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irrawaddy Delta |
E248761
|
entity |
| Predicate | supportsPopulationType |
P72572
|
FINISHED |
| Object | rural population |
—
|
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: rural population | Statement: [Irrawaddy Delta, supportsPopulationType, rural population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPopulationType Context triple: [Irrawaddy Delta, supportsPopulationType, rural population]
-
A.
supportsPopulation
Indicates that one entity provides the necessary conditions or resources for a population of another entity to exist, persist, or thrive.
-
B.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
C.
servicePopulationType
Indicates the type or category of population that a service is intended to serve or target.
-
D.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
E.
hostedPopulationType
chosen
Indicates the type or category of population that is accommodated or supported by a given host entity.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d51911b10481909e6e548879e8de36 |
completed | April 7, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:32 p.m.