Triple
T22451506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IG postcode area |
E555001
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Harold Wood |
—
|
NE NERFINISHED |
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: Harold Wood | Statement: [IG postcode area, containsTown, Harold Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold Wood Context triple: [IG postcode area, containsTown, Harold Wood]
-
A.
Harold Wood
chosen
Harold Wood is a suburban residential area in East London, England, known for its transport links into central London and proximity to green spaces.
-
B.
Harold Lane
Harold Lane is an American businessman best known for co-founding the women’s fashion retail chain New York & Company.
-
C.
Harold Harwood
Harold Harwood was an English screenwriter and playwright best known for his work on film and television in the mid-20th century.
-
D.
Harold Wilkinson
Harold Wilkinson was the brother of prominent British Labour politician and education reformer Ellen Wilkinson.
-
E.
Harold Tennant
Harold Tennant was a British Liberal politician and government minister in the early 20th century, associated with the administration of H. H. Asquith.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.