Triple
T25321641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalcanal linguistic area |
E634897
|
entity |
| Predicate | hasGeographicalBasis |
P115992
|
FINISHED |
| Object | island of Guadalcanal |
—
|
NE NERFINISHED |
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: island of Guadalcanal | Statement: [Guadalcanal linguistic area, hasGeographicalBasis, island of Guadalcanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicalBasis Context triple: [Guadalcanal linguistic area, hasGeographicalBasis, island of Guadalcanal]
-
A.
hasGeographicBasis
chosen
Indicates that something is grounded in, derived from, or defined by a particular geographic location or area.
-
B.
hasGeoculturalBasis
Indicates that something is grounded in, derived from, or shaped by a particular geographic and cultural context.
-
C.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
D.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
E.
containsGeographicalReferences
Indicates that something includes mentions or information about specific geographical locations or features.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:28 p.m.