Triple
T5027985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | d’Aubigny |
E113222
|
entity |
| Predicate | introducedIntoEnglandBy |
P2528
|
FINISHED |
| Object | Norman settlers |
—
|
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: Norman settlers | Statement: [d’Aubigny, introducedIntoEnglandBy, Norman settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedIntoEnglandBy Context triple: [d’Aubigny, introducedIntoEnglandBy, Norman settlers]
-
A.
introducedToEnglandBy
chosen
Indicates that one entity was responsible for bringing or first establishing another entity in England.
-
B.
introducedInEnglandAndWales
Indicates that something was first brought into use, implemented, or established within the jurisdiction of England and Wales.
-
C.
dateOfGiftToEngland
Indicates the date on which a gift was formally given or transferred to England.
-
D.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
E.
broughtUnderBritishCrown
Indicates that an entity was placed under the authority, control, or sovereignty of the British Crown.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.