Triple
T23932049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duxbury, Lancashire, England |
E602524
|
entity |
| Predicate | hasHistoricalRecord |
P59487
|
FINISHED |
| Object | recorded as a township in the parish of Standish |
—
|
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: recorded as a township in the parish of Standish | Statement: [Duxbury, Lancashire, England, hasHistoricalRecord, recorded as a township in the parish of Standish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalRecord Context triple: [Duxbury, Lancashire, England, hasHistoricalRecord, recorded as a township in the parish of Standish]
-
A.
hasHistoricalDetail
Indicates that something includes or is associated with specific information about past events, contexts, or developments.
-
B.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
C.
hasHistoricalData
chosen
Indicates that an entity possesses recorded information or records about past events, states, or values relevant to it.
-
D.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
E.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9c223881908e5fa4b5564848e6 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:58 p.m.