Triple
T9665007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossett |
E233679
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Llay |
E576248
|
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: Llay | Statement: [Rossett, hasNearbySettlement, Llay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llay Context triple: [Rossett, hasNearbySettlement, Llay]
-
A.
Llay
chosen
Llay is a village and community in Wrexham County Borough in north-east Wales, historically associated with coal mining.
-
B.
Llaillay
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
C.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
-
D.
Llynclys
Llynclys is a village in Shropshire, England, known for its historic railway connections and role in regional heritage rail operations.
-
E.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0e1ef481909c50a4ba5fd94583 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a17eea08190825404b01b0e8d96 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.