Triple
T9121057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Logistic Corps Museum |
E218849
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Worth Down |
E221780
|
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: Worth Down | Statement: [Royal Logistic Corps Museum, locatedIn, Worth Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worth Down Context triple: [Royal Logistic Corps Museum, locatedIn, Worth Down]
-
A.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
B.
Wallisdown
Wallisdown is a suburban area of Bournemouth in Dorset, England, known for hosting higher education campuses and residential neighborhoods.
-
C.
Worthy Down
chosen
Worthy Down is a British military establishment in Hampshire that has long served as a key training and administrative base for support and logistics units.
-
D.
Walton-on-the-Hill
Walton-on-the-Hill is a village in Surrey, England, known for its picturesque setting on the North Downs and proximity to Epsom Downs and major golf courses.
-
E.
Langworthy
Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030867d248190ad5b5ba3047426bb |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.