Triple
T9324550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ormskirk |
E224354
|
entity |
| Predicate | hasMarketDays |
P2916
|
FINISHED |
| Object | typically Thursday and Saturday |
—
|
LITERAL 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: typically Thursday and Saturday | Statement: [Ormskirk, hasMarketDays, typically Thursday and Saturday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketDays Context triple: [Ormskirk, hasMarketDays, typically Thursday and Saturday]
-
A.
hasTradingDays
chosen
Indicates that an entity is associated with specific days on which trading or commercial transactions are conducted.
-
B.
hasDailyMarket
Indicates that an entity regularly hosts or participates in a market that operates on a daily basis.
-
C.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
D.
hasPublicDays
Indicates that an entity has specific days designated as open or accessible to the public.
-
E.
hasMarketStatus
Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
- F. None of above.
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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f5c41c81908104c5b30e14827e |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.