Triple
T15043686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doddington, Cambridgeshire |
E379167
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | MARCH |
E206129
|
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: MARCH | Statement: [Doddington, Cambridgeshire, postTown, MARCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARCH Context triple: [Doddington, Cambridgeshire, postTown, MARCH]
-
A.
MARCH
chosen
MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
-
B.
March
March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
-
C.
March
March is a common surname of Spanish origin borne by various notable individuals, including Cuban revolutionary Aleida March.
-
D.
March
March is a market town in Cambridgeshire, England, known historically as an important railway and river port center in the Fens.
-
E.
March
March is the third month of the Gregorian calendar, marking the transition from winter to spring in the Northern Hemisphere and often associated with seasonal festivals and observances.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.