Triple
T11671700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Pacific High Commission |
E277396
|
entity |
| Predicate | seatSharedWith |
P100699
|
FINISHED |
| Object | Colony of Fiji administration |
—
|
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: Colony of Fiji administration | Statement: [Western Pacific High Commission, seatSharedWith, Colony of Fiji administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatSharedWith Context triple: [Western Pacific High Commission, seatSharedWith, Colony of Fiji administration]
-
A.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
B.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
-
C.
seatAgreementWith
Indicates an arrangement or understanding by which one party provides or allocates seating to another under agreed terms.
-
D.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
E.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44264c08190ba1a4a5bcdc9367b |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d8938a1f8c81908ffb049fa5fee5a7 |
completed | April 10, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:40 p.m.