Triple
T7023482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH postcode area |
E162884
|
entity |
| Predicate | servesTown |
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: [CH postcode area, servesTown, Mold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mold Context triple: [CH postcode area, servesTown, 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.
Aspergillus
Aspergillus is a large genus of filamentous fungi that includes many species important in medicine, industry, and food production, as well as some notable human pathogens.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1edf3608190b7ba0bfb85710e97 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7757c87788190b09ced669b5c4d83 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.