Triple
T29595187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow trolleybus network |
E754272
|
entity |
| Predicate | finalRoute |
P191793
|
FINISHED |
| Object | route 15 |
—
|
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: route 15 | Statement: [Moscow trolleybus network, finalRoute, route 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalRoute Context triple: [Moscow trolleybus network, finalRoute, route 15]
-
A.
finalHomeOf
Indicates that a location is the last or ultimate home, residence, or resting place of an entity.
-
B.
finalStep
Indicates that an action or state represents the last step or concluding stage in a process or sequence.
-
C.
finalCity
Indicates that a given city is the last or ultimate city associated with an entity within a sequence, process, or journey.
-
D.
finalWentTo
Indicates that an entity ultimately went to or arrived at a particular location as the final destination in a sequence of movements or places visited.
-
E.
finalLine
Indicates that something is the last or concluding line in a sequence, text, or structured content.
- F. None of above. chosen
Provenance (4 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: April 28, 2026, 6:17 p.m.