Triple
T629987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebes |
E15903
|
entity |
| Predicate | colonialNameGivenBy |
P4289
|
FINISHED |
| Object | Portuguese |
—
|
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: Portuguese | Statement: [Celebes, colonialNameGivenBy, Portuguese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonialNameGivenBy Context triple: [Celebes, colonialNameGivenBy, Portuguese]
-
A.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
-
B.
formerColonyName
Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
-
C.
colonialPowerOfOrigin
chosen
Indicates the colonial state or empire from which a colony or formerly colonized territory originated or was governed.
-
D.
formerColonyEstablishedIn
Indicates that a former colony was originally established in a specified year or time period.
-
E.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec051bc8190b3e3f8651a367d77 |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d01b29081908be87e4cd7726ff1 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.