Triple
T15245242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston Loop Line |
E364361
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hampton Wick |
E238277
|
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: Hampton Wick | Statement: [Kingston Loop Line, serves, Hampton Wick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hampton Wick Context triple: [Kingston Loop Line, serves, Hampton Wick]
-
A.
Hampton Wick
chosen
Hampton Wick is a suburban riverside area in southwest London, situated on the north bank of the River Thames opposite Kingston upon Thames.
-
B.
Henham
Henham is a small rural village located in the English county of Suffolk.
-
C.
Brockham
Brockham is a picturesque village in Surrey, England, known for its traditional village green and historic rural character.
-
D.
Hanham
Hanham is a suburban village and residential area on the eastern edge of Bristol in South West England.
-
E.
Hillingham
Hillingham is the seaside residence of Lucy Westenra and her mother in Bram Stoker’s novel "Dracula," serving as a key setting for her encounters with the vampire.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.