Triple
T14397383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hackney, London, England |
E356983
|
entity |
| Predicate | hasMajorRoad |
P385
|
FINISHED |
| Object | A13 |
E273630
|
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: A13 | Statement: [Hackney, London, England, hasMajorRoad, A13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A13 Context triple: [Hackney, London, England, hasMajorRoad, A13]
-
A.
A13
chosen
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
B.
A13
A13 is a major Swiss motorway running along the country’s eastern side, providing an important north–south transit route through the Alps.
-
C.
A15
A15 is a major French motorway forming part of the country's national autoroute network.
-
D.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
E.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648409f48190b099cd137879487e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.