Triple
T7340872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman archipelago |
E169242
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Chausey |
E29447
|
NE 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: Chausey | Statement: [Norman archipelago, hasPart, Chausey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chausey Context triple: [Norman archipelago, hasPart, Chausey]
-
A.
Chausey (historically associated)
chosen
Chausey is a small archipelago of tidal islands and islets off the coast of Normandy, France, historically linked to the Channel Islands and known for its dramatic tidal range and rich marine environment.
-
B.
Pomfret
Pomfret is a small, historic town in northeastern Connecticut known for its rural character, scenic landscapes, and prestigious boarding schools.
-
C.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
-
D.
Dungeness
Dungeness is a unique shingle headland on the coast of Kent, England, known for its stark landscape, lighthouses, and nuclear power station.
-
E.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0d89cd481908c8c2dbcb034b111 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef294f608190ae2ccd45a1ca213a |
completed | March 28, 2026, 3:09 p.m. |
Created at: March 27, 2026, 3:04 p.m.