Triple
T3526643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welwyn Garden City |
E74554
|
entity |
| Predicate | hasNearbyMotorway |
P385
|
FINISHED |
| Object | A1(M) |
E160628
|
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: A1(M) | Statement: [Welwyn Garden City, hasNearbyMotorway, A1(M)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1(M) Context triple: [Welwyn Garden City, hasNearbyMotorway, A1(M)]
-
A.
A1(M)
chosen
A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
-
B.
M1
M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
-
C.
M1
M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
-
D.
M1
M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
-
E.
M1
M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e90e67c81909944bb81d89e039b |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.