Triple
T1051794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembrokeshire |
E22714
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Milford Haven |
E69564
|
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: Milford Haven | Statement: [Pembrokeshire, contains, Milford Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milford Haven Context triple: [Pembrokeshire, contains, Milford Haven]
-
A.
Milford Haven
chosen
Milford Haven is a coastal town and deep-water port in Pembrokeshire, Wales, known for its large natural harbour and role in the UK energy industry.
-
B.
Porthmadog
Porthmadog is a coastal town in Gwynedd, Wales, known as a gateway to Snowdonia and for its historic harbour and heritage railways.
-
C.
Briton Ferry
Briton Ferry is a town in South Wales situated near the mouth of the River Neath, historically known for its industrial heritage and docks.
-
D.
Port Eynon
Port Eynon is a coastal village and popular seaside destination on the Gower Peninsula in South Wales, known for its sandy beach and scenic surroundings.
-
E.
Tenby
Tenby is a historic seaside town and popular tourist resort in Pembrokeshire, Wales, known for its sandy beaches, medieval town walls, and picturesque harbor.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b5312081909796df58fa7c1e9d |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f23d04819099ad169adc9d1cb9 |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:42 p.m.