Triple
T9705596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin-men |
E234889
|
entity |
| Predicate | archipelagoStatus |
P90784
|
FINISHED |
| Object | group of islands |
—
|
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: group of islands | Statement: [Chin-men, archipelagoStatus, group of islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archipelagoStatus Context triple: [Chin-men, archipelagoStatus, group of islands]
-
A.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
B.
includesArchipelago
Indicates that one geographic entity contains or encompasses an archipelago within its area or jurisdiction.
-
C.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
D.
concernsArchipelago
Indicates a relationship where something is about, relates to, or involves an archipelago as its primary subject or focus.
-
E.
legalStatusOfIslands
Indicates the legal or sovereign status that applies to a given group of islands under relevant laws or treaties.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:19 p.m.