Triple
T8510493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Placentia, Newfoundland and Labrador |
E201439
|
entity |
| Predicate | wasFrenchCapitalFrom |
P13206
|
FINISHED |
| Object | 1662 |
—
|
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: 1662 | Statement: [Placentia, Newfoundland and Labrador, wasFrenchCapitalFrom, 1662]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFrenchCapitalFrom Context triple: [Placentia, Newfoundland and Labrador, wasFrenchCapitalFrom, 1662]
-
A.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
B.
servedAsNationalCapitalFrom
chosen
Indicates that a place functioned as the national capital of a country or political entity during a specified time period.
-
C.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
-
D.
wasDeFactoCapitalOf
Indicates that a place functioned in practice as the capital of a political entity, even if it was not officially designated as such.
-
E.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe608e5b08190a6d551793e8ed94b |
completed | March 31, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.