Triple
T10556931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wola tram depot |
E249109
|
entity |
| Predicate | hasAccessToNetwork |
P33235
|
FINISHED |
| Object | Warsaw tram lines |
—
|
LITERAL 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: Warsaw tram lines | Statement: [Wola tram depot, hasAccessToNetwork, Warsaw tram lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessToNetwork Context triple: [Wola tram depot, hasAccessToNetwork, Warsaw tram lines]
-
A.
isOnNetwork
chosen
Indicates that an entity is currently connected to, accessible through, or operating within a specified network.
-
B.
canUseNetworkType
Indicates that an entity is permitted or able to operate using a specified type of network.
-
C.
hasRoleInNetwork
Indicates that an entity holds a specific functional position or responsibility within a particular network.
-
D.
hasBridgeAccess
Indicates that an entity is permitted to enter or use a specific bridge or bridge-controlled area.
-
E.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52713eaa48190936b4b15e2c7e827 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.