Triple
T20346611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanchardstown |
E495886
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Ongar |
—
|
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: Ongar | Statement: [Blanchardstown, hasNeighbourhood, Ongar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ongar Context triple: [Blanchardstown, hasNeighbourhood, Ongar]
-
A.
Ongar
Ongar is a small historic town and civil parish in the county of Essex in southeast England.
-
B.
Ongar
chosen
Ongar is a residential suburb and townland in the Fingal area of County Dublin, Ireland.
-
C.
Stansted Mountfitchet
Stansted Mountfitchet is a village in Essex, England, best known for being the nearby settlement to London Stansted Airport and for its historic Norman castle and medieval-themed tourist attractions.
-
D.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
E.
Chobham
Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6783937a48190ac86e4959a781a2b |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.