Triple
T10592003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanbedr Airfield |
E250013
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Harlech |
E47902
|
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: Harlech | Statement: [Llanbedr Airfield, locatedNear, Harlech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlech Context triple: [Llanbedr Airfield, locatedNear, Harlech]
-
A.
Harlech
chosen
Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
-
B.
Criccieth
Criccieth is a seaside town on the Llŷn Peninsula in Gwynedd, Wales, known for its medieval castle overlooking Cardigan Bay.
-
C.
Beaumaris
Beaumaris is a historic seaside town in Wales best known for its impressive medieval castle and picturesque setting on the Isle of Anglesey.
-
D.
Ponterwyd
Ponterwyd is a small rural village in Ceredigion, Wales, situated in the Cambrian Mountains and known as a gateway to the scenic Rheidol Valley.
-
E.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277c79808190acc872919eadd126 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
Created at: April 6, 2026, 12:40 p.m.