Triple
T6150830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ML postcode area |
E137195
|
entity |
| Predicate | coversTown |
P847
|
FINISHED |
| Object | Wishaw |
E137194
|
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: Wishaw | Statement: [ML postcode area, coversTown, Wishaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wishaw Context triple: [ML postcode area, coversTown, Wishaw]
-
A.
Wishaw
chosen
Wishaw is a town in North Lanarkshire, Scotland, forming part of the Greater Glasgow urban area and known historically for its role in coal mining and steel production.
-
B.
Wentworthe
Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
-
C.
Twann
Twann is a picturesque Swiss village on the shores of Lake Biel, known for its vineyards and wine-growing tradition.
-
D.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
E.
Boyne City
Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce329648190a03ba0233df841fa |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1417c33d08190bd42558cc734601f |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:16 p.m.