Triple
T25345133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uno |
E635523
|
entity |
| Predicate | archipelagoCountry |
P128544
|
FINISHED |
| Object | Guinea-Bissau |
—
|
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: Guinea-Bissau | Statement: [Uno, archipelagoCountry, Guinea-Bissau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archipelagoCountry Context triple: [Uno, archipelagoCountry, Guinea-Bissau]
-
A.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
B.
islandGroupOfCountry
chosen
Indicates that a specific island group belongs to, or is part of the territory of, a particular country.
-
C.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
D.
archipelagoStatus
Indicates that an entity has the status or classification of being an archipelago, typically denoting a group or chain of islands considered as a single geographic or administrative unit.
-
E.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 1:34 p.m.