Triple
T26283637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Bougainville |
E661070
|
entity |
| Predicate | kapkapRepresents |
P160202
|
FINISHED |
| Object | traditional authority |
—
|
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: traditional authority | Statement: [Flag of Bougainville, kapkapRepresents, traditional authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kapkapRepresents Context triple: [Flag of Bougainville, kapkapRepresents, traditional authority]
-
A.
rimRepresents
Indicates that one entity serves as a representation, model, or stand-in for another entity within a specific context or system.
-
B.
capitalRepresentation
Indicates that one entity serves as the capital city or capital seat representing another entity, such as a country, state, or region.
-
C.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
D.
shadowRepresents
Indicates that one entity serves as the shadow or silhouette that visually corresponds to, or is cast by, another entity.
-
E.
caps
Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e7593c881908faeda8a64f3e246 |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:02 p.m.