Triple
T15810819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hook Junction with A3 |
E383346
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Hook Junction with A3 |
E383346
|
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: Hook Junction with A3 | Statement: [Hook Junction with A3, hasName, Hook Junction with A3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hook Junction with A3 Context triple: [Hook Junction with A3, hasName, Hook Junction with A3]
-
A.
Hook Junction with A3
chosen
Hook Junction with the A3 is a major road interchange in southwest London where local routes connect with the primary A3 trunk road.
-
B.
Junction 3a
Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
-
C.
Junction 3
Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
-
D.
Junction 3
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
-
E.
Junction 5a
Junction 5a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52aae14819091de08630e7e1d1a |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999210148190baa6dcb19be3a1d3 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.