Triple
T22739132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erith |
E562357
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | ERITH |
—
|
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: ERITH | Statement: [Erith, hasPostTown, ERITH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERITH Context triple: [Erith, hasPostTown, ERITH]
-
A.
Erith
chosen
Erith is a suburban town on the River Thames in the London Borough of Bexley, known for its riverside location, residential areas, and local shopping facilities.
-
B.
Edenbridge
Edenbridge is a small historic town in Kent, England, known for its medieval buildings and annual bonfire celebrations.
-
C.
Eltham
Eltham is a small rural town in New Zealand’s Taranaki Region, known historically for its dairy industry and cheese production.
-
D.
Eltham
Eltham is a suburban district in southeast London, England, known for its historic connections to the monarchy and the presence of the Art Deco–styled Eltham Palace.
-
E.
Leigh-on-Sea
Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17971751081909253984429c8d178 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.