Triple
T24770444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Maluku Regency |
E619705
|
entity |
| Predicate | locatedInPartOfArchipelago |
P7765
|
FINISHED |
| Object | central part of the Maluku archipelago |
—
|
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: central part of the Maluku archipelago | Statement: [Central Maluku Regency, locatedInPartOfArchipelago, central part of the Maluku archipelago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPartOfArchipelago Context triple: [Central Maluku Regency, locatedInPartOfArchipelago, central part of the Maluku archipelago]
-
A.
locatedInArchipelago
chosen
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
B.
includesArchipelago
Indicates that one geographic entity contains or encompasses an archipelago within its area or jurisdiction.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
E.
locatedInIslandNation
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 4:29 a.m.