Triple
T80633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrewsbury, Shropshire, England |
E1618
|
entity |
| Predicate | hasHistoricMarketCharter |
P1614
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Shrewsbury, Shropshire, England, hasHistoricMarketCharter, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricMarketCharter Context triple: [Shrewsbury, Shropshire, England, hasHistoricMarketCharter, medieval period]
-
A.
hasHistoricIndustry
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
B.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
C.
hasTradingDays
Indicates that an entity is associated with specific days on which trading or commercial transactions are conducted.
-
D.
hasHistoricalOrigin
chosen
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
E.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25053ca208190a371b0d38000c2b9 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb2998c819082681da74601d446 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.