Triple
T8000058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haddenham and Thame Parkway railway station |
E186223
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Haddenham |
E188937
|
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: Haddenham | Statement: [Haddenham and Thame Parkway railway station, serves, Haddenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haddenham Context triple: [Haddenham and Thame Parkway railway station, serves, Haddenham]
-
A.
Haddenham
chosen
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
-
B.
Haddenham
Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
-
C.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
-
D.
Little Hadham
Little Hadham is a small rural village and civil parish in Hertfordshire, England, known for its historic church, countryside setting, and location near the A120 between Bishop’s Stortford and Ware.
-
E.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9b67988190a8a4a2c960017400 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe114372c819086f06e184d5ebde2 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:17 p.m.