Triple
T3471026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambeth |
E73257
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Merton |
E271188
|
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: Merton | Statement: [Lambeth, borderedBy, Merton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merton Context triple: [Lambeth, borderedBy, Merton]
-
A.
Merton
chosen
Merton is a borough in southwest London, England, known for its residential suburbs and the Wimbledon tennis championships.
-
B.
Brighton Hill
Brighton Hill is a residential suburb and local community area within the town of Basingstoke in Hampshire, England.
-
C.
Dorchester
Dorchester is a historic market town in Dorset, England, known as the county town and closely associated with the life and works of novelist Thomas Hardy.
-
D.
Dorchester
Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
-
E.
Peabody
Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.