Triple
T13345646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillingbourne valley |
E317941
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Shere |
E74954
|
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: Shere | Statement: [Tillingbourne valley, hasSettlement, Shere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shere Context triple: [Tillingbourne valley, hasSettlement, Shere]
-
A.
Shere
chosen
Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
-
B.
Shere
Shere is a locality within Nigeria’s Federal Capital Territory, situated under the administration of Bwari Area Council near Abuja.
-
C.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Sheri
Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.