Triple
T1999882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EZJ |
E43443
|
entity |
| Predicate | issuerHeadquarters |
P62
|
FINISHED |
| Object | Luton, England |
E51115
|
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: Luton, England | Statement: [EZJ, issuerHeadquarters, Luton, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luton, England Context triple: [EZJ, issuerHeadquarters, Luton, England]
-
A.
Luton
chosen
Luton is a large town in Bedfordshire, England, known for its international airport and diverse urban population.
-
B.
Bedford, England
Bedford, England is a historic market town and the county town of Bedfordshire in eastern England, known for its riverside setting on the River Great Ouse and its role as a regional commercial and cultural center.
-
C.
Middlesex, England
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
-
D.
Aylesbury
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
-
E.
Ealing, London
Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb87f78f0819098e787a5f3e062fd |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ada17608190867681ee14aa217e |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.