Triple
T36685757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisłostrada |
E905810
|
entity |
| Predicate | tunnelLocatedNear |
P141661
|
FINISHED |
| Object | Warsaw Old Town |
—
|
NE NERFINISHED |
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: Warsaw Old Town | Statement: [Wisłostrada, tunnelLocatedNear, Warsaw Old Town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelLocatedNear Context triple: [Wisłostrada, tunnelLocatedNear, Warsaw Old Town]
-
A.
tunnelLocation
chosen
Indicates that one entity is the location or site where a tunnel is situated or passes through in relation to another entity.
-
B.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
nearbyConnectionViaPassageways
Indicates that two locations are close to each other and are connected specifically through one or more passageways.
-
D.
isInTunnelSystem
Indicates that one entity is located within or forms part of a tunnel system associated with another entity.
-
E.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
- F. None of above.
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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.