Triple
T35133827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seira |
E1014512
|
entity |
| Predicate | locatedInArchipelagicState |
P87486
|
FINISHED |
| Object | Indonesia |
E3541
|
NE 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: Indonesia | Statement: [Seira, locatedInArchipelagicState, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInArchipelagicState Context triple: [Seira, locatedInArchipelagicState, Indonesia]
-
A.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
B.
isPartOfInsularArea
Indicates that one entity is included within, or belongs to, a defined insular area (such as a non-contiguous territorial region or island jurisdiction).
-
C.
islandState
Indicates that a location or political entity has the status of being an island-based state or territory, typically surrounded by water and geographically distinct from continental landmasses.
-
D.
locatedInIslandNation
chosen
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
-
E.
includesArchipelago
Indicates that one geographic entity contains or encompasses an archipelago within its area or jurisdiction.
- F. None of above.
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d947bd9c8190b7b2b20ba85b6128 |
completed | June 21, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.