Triple
T10178082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bookham |
E235905
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Leatherhead |
E17307
|
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: Leatherhead | Statement: [Bookham, locatedNear, Leatherhead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leatherhead Context triple: [Bookham, locatedNear, Leatherhead]
-
A.
Leatherhead
chosen
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
B.
Hawkhead
Hawkhead is a railway station in Paisley, Scotland, serving the surrounding residential areas on the southwestern outskirts of Glasgow.
-
C.
Ravenshead
Ravenshead is a village in Nottinghamshire, England, known for its proximity to the historic Newstead Abbey, former home of poet Lord Byron.
-
D.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
E.
Wolf's Head
Wolf's Head is one of Yale University's historic senior secret societies, known for its selective membership and longstanding campus traditions.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd620808190892c6e3074500280 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31792490c819088c89444f75cdbc9 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:11 p.m.