Triple
T1874404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noyon, Picardy, Kingdom of France |
E39107
|
entity |
| Predicate | timeExistedAsTownInKingdomOfFrance |
P5057
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Noyon, Picardy, Kingdom of France, timeExistedAsTownInKingdomOfFrance, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeExistedAsTownInKingdomOfFrance Context triple: [Noyon, Picardy, Kingdom of France, timeExistedAsTownInKingdomOfFrance, Middle Ages]
-
A.
timeUnderControlOfFrance
Indicates the period during which an entity was governed, administered, or otherwise under the political control of France.
-
B.
historicallyInhabitedBy
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
-
C.
historicallyPartOf
chosen
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
D.
yearMovedToParis
Indicates the year in which an entity moved to Paris.
-
E.
dateBecameOverseasProvince
Indicates the date on which an entity officially attained the status of an overseas province.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.