Triple
T2419724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester, Hampshire, England |
E52389
|
entity |
| Predicate | hasMarketStatus |
P38438
|
FINISHED |
| Object | market town |
—
|
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: market town | Statement: [Winchester, Hampshire, England, hasMarketStatus, market town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketStatus Context triple: [Winchester, Hampshire, England, hasMarketStatus, market town]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
marketStatus
Indicates the current trading or availability condition of an asset, product, or market (e.g., open, closed, active, suspended).
-
C.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
D.
hasArtMarketStatus
Indicates that an entity holds a particular status or condition within the art market, such as its market recognition, activity, or classification.
-
E.
hasMarketCharterStatus
Indicates that an entity holds a specific official market charter status, such as being authorized, licensed, or otherwise formally recognized to operate in a designated market.
- F. None of above. chosen
Provenance (4 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc9f1ba608190b488874bed3533dd |
completed | March 7, 2026, 6:47 a.m. |
Created at: March 6, 2026, 9:42 p.m.