Triple
T7570432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witham, Essex, England |
E179224
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | WITHAM |
E442143
|
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: WITHAM | Statement: [Witham, Essex, England, hasPostTown, WITHAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WITHAM Context triple: [Witham, Essex, England, hasPostTown, WITHAM]
-
A.
WITHAM
chosen
WITHAM is a town in the county of Essex, England, known for its historic high street and role as a commuter hub between Colchester and London.
-
B.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
-
C.
Worsham
Worsham is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
D.
WAT
WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
-
E.
Wasauksing
Wasauksing is a community located on Wasauksing First Nation territory in Ontario, Canada, situated on Parry Island in Georgian Bay.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f920540c8190817712db5aa3eeff |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e475348190a7c1e9872b513899 |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.