Triple
T13030109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepherdswell with Coldred |
E326411
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Coldred |
E1016907
|
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: Coldred | Statement: [Shepherdswell with Coldred, hasVillage, Coldred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coldred Context triple: [Shepherdswell with Coldred, hasVillage, Coldred]
-
A.
Coldred
chosen
Coldred is a small village in Kent, England, forming part of the civil parish of Shepherdswell with Coldred.
-
B.
Garvald
Garvald is a small rural village in East Lothian, Scotland, known for its historic stone buildings and scenic countryside setting.
-
C.
Godric
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
-
D.
Thorold
Thorold is a small city in Ontario, Canada, located in the Niagara Region and known for its historic Welland Canal infrastructure.
-
E.
Baldwyn
Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcd25108190a6c4a129cde81534 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:54 p.m.