Triple
T14090352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north-east Wales |
E339111
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object | Mold |
E119060
|
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: Mold | Statement: [north-east Wales, hasHistoricTown, Mold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mold Context triple: [north-east Wales, hasHistoricTown, Mold]
-
A.
Mold
chosen
Mold is a historic market town in Flintshire, northeast Wales, known as a local administrative and cultural center near the River Alyn.
-
B.
Mould
Mould is a surname of English origin borne by various notable individuals, including architect and designer Jacob Wrey Mould.
-
C.
Mushroom
The Mushroom in Mario Kart Wii is a power-up item that gives racers a brief speed boost when used.
-
D.
Fungi
Fungi are a kingdom of mostly multicellular, eukaryotic organisms that obtain nutrients by absorbing them from organic matter, including molds, yeasts, and mushrooms.
-
E.
Mold Town Hall
Mold Town Hall is a prominent civic building and community venue in the town of Mold, Wales, serving as a focal point for local government and public events.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a7aab88190949cf1fd8e11b050 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.