Triple
T17691993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CB postcode area |
E441048
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Soham |
E216796
|
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: Soham | Statement: [CB postcode area, servesTown, Soham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soham Context triple: [CB postcode area, servesTown, Soham]
-
A.
Soham
chosen
Soham is a small historic market town in the East Cambridgeshire district of Cambridgeshire, England.
-
B.
Vivek
Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
-
C.
Sohain
Sohain is a regional dialect of the Potohari language spoken in parts of the Potohar Plateau in Pakistan.
-
D.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
E.
Sanjay
Sanjay is the central protagonist of the 1965 film "Shakespeare-Wallah," around whom the story of a traveling Shakespearean theatre troupe in post-colonial India revolves.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47152306c819086d483d87348db5d |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022331e1388190b596c7867f1c5b60 |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 10:03 a.m.