Triple
T13505768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hythe |
E321010
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Hythe High Street |
E321013
|
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: Hythe High Street | Statement: [Hythe, hasAttraction, Hythe High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hythe High Street Context triple: [Hythe, hasAttraction, Hythe High Street]
-
A.
Hythe High Street
chosen
Hythe High Street is the main commercial and historic thoroughfare of the town of Hythe, lined with shops, eateries, and traditional buildings.
-
B.
Welling High Street
Welling High Street is the main commercial thoroughfare and shopping area in the suburban district of Welling in southeast London.
-
C.
Gillingham High Street
Gillingham High Street is the main commercial and shopping street in the town of Gillingham in Kent, England.
-
D.
Winchester High Street
Winchester High Street is the main historic shopping and pedestrian thoroughfare in the center of Winchester, England, lined with period architecture, shops, and civic buildings.
-
E.
Keynsham High Street
Keynsham High Street is the main commercial thoroughfare in the town of Keynsham, featuring a mix of shops, services, and local amenities.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.