Triple
T34809950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntingdonshire |
E1003469
|
entity |
| Predicate | hasTraditionalIdentity |
P200455
|
FINISHED |
| Object | Huntingdonshire |
—
|
NE NERFINISHED |
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: Huntingdonshire | Statement: [Huntingdonshire, hasTraditionalIdentity, Huntingdonshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalIdentity Context triple: [Huntingdonshire, hasTraditionalIdentity, Huntingdonshire]
-
A.
hasHistoricalIdentity
Indicates that an entity possesses a historically established identity, role, or significance that distinguishes it within a historical context.
-
B.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
C.
hasFormerIdentity
Indicates that an entity previously had a different identity, name, or role before its current one.
-
D.
hasIdentityForm
Indicates that one entity takes a particular identity-related form or representation of another entity.
-
E.
hasTraditionalRecognition
Indicates that an entity is acknowledged or honored according to established customs, practices, or longstanding cultural traditions.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: May 3, 2026, 3:59 p.m.