Triple
T19557569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ton Pentre |
E489354
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Gelli |
—
|
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: Gelli | Statement: [Ton Pentre, hasNeighbouringSettlement, Gelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelli Context triple: [Ton Pentre, hasNeighbouringSettlement, Gelli]
-
A.
Gelli
chosen
Gelli is a village in the Rhondda Valley of South Wales, historically associated with coal mining and the broader industrial heritage of the region.
-
B.
Gullac
Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
-
C.
Gellin
Gellin is a small commune in eastern France, located in the Jura department of the Bourgogne-Franche-Comté region.
-
D.
Gelo
Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
-
E.
Gingelom
Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.