Triple
T6615137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angoumois |
E149330
|
entity |
| Predicate | historicalGovernmentType |
P49184
|
FINISHED |
| Object | province of France |
—
|
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: province of France | Statement: [Angoumois, historicalGovernmentType, province of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalGovernmentType Context triple: [Angoumois, historicalGovernmentType, province of France]
-
A.
hasHistoricalGovernmentForm
chosen
Indicates that an entity has, at some point in the past, been governed under a particular form or system of government.
-
B.
governmentTypeBefore
Indicates the form of government that existed for an entity prior to a specified change or later government type.
-
C.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
D.
politicalSystemHistorical
Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
-
E.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.