Triple
T23379197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cellan |
E593690
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | Cellan |
—
|
NE NERFINISHED |
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: Cellan | Statement: [Cellan, parish, Cellan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cellan Context triple: [Cellan, parish, Cellan]
-
A.
Cellan
chosen
Cellan is a small rural village in Ceredigion, Wales, situated near the market town of Lampeter.
-
B.
Sullane
The Sullane is a river in County Cork, Ireland, that flows through the town of Macroom before joining the River Lee.
-
C.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
-
D.
Sirellyn
Sirellyn is a character from Terry Mancour’s Spellmonger fantasy series, known for her role within the intricate political and magical conflicts of that world.
-
E.
Tillion
Tillion is the surname of Germaine Tillion, a renowned French ethnologist, Resistance member during World War II, and later a prominent public intellectual.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b5e4f0819081a5d4586796677b |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.