Triple
T3293906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 road |
E69163
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A4 |
E237835
|
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: A4 | Statement: [A4 road, roadNumber, A4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A4 Context triple: [A4 road, roadNumber, A4]
-
A.
A4
chosen
A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
-
B.
A6
A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
-
C.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
-
D.
A3
A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
-
E.
A24
A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86b8e04819091f4a4ae6d6a87ad |
completed | March 12, 2026, 4:23 p.m. |
Created at: March 8, 2026, 3:10 p.m.