Triple
T5058585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimla |
E113966
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | NEATH |
E24620
|
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: NEATH | Statement: [Cimla, postTown, NEATH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NEATH Context triple: [Cimla, postTown, NEATH]
-
A.
Emneth
Emneth is a rural village and civil parish in Norfolk, England, situated near the Cambridgeshire border in the Fens.
-
B.
Bynea
Bynea is a village in Carmarthenshire, Wales, situated near the Loughor estuary and forming part of the Llanelli urban area.
-
C.
Nealey
Nealey is a surname, often of English or Irish origin, used by various individuals and families.
-
D.
Nant y Draenog
Nant y Draenog is a small stream in south Wales that serves as one of the tributaries feeding into the Rhymney River.
-
E.
Neath
chosen
Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea48fa2dc8190810eebc136d4859a |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.