Triple
T29595169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow trolleybus network |
E754272
|
entity |
| Predicate | notableDepot |
P207155
|
FINISHED |
| Object |
Filevsky trolleybus depot
Filevsky trolleybus depot is a major trolleybus maintenance and operations facility within Moscow’s historic electric public transport system.
|
E1874564
|
NE FINISHED |
How this triple was built (3 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: Filevsky trolleybus depot | Statement: [Moscow trolleybus network, notableDepot, Filevsky trolleybus depot]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Filevsky trolleybus depot Triple: [Moscow trolleybus network, notableDepot, Filevsky trolleybus depot]
Generated description
Filevsky trolleybus depot is a major trolleybus maintenance and operations facility within Moscow’s historic electric public transport system.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDepot Context triple: [Moscow trolleybus network, notableDepot, Filevsky trolleybus depot]
-
A.
notableCargo
Indicates that an entity is known for carrying or having carried a particularly important, famous, or otherwise noteworthy cargo.
-
B.
notableDeployment
Indicates that an entity has been deployed or launched in a way that is particularly significant, prominent, or widely recognized.
-
C.
notableQuarry
Indicates that an entity is a quarry that is particularly significant, well-known, or noteworthy in some context.
-
D.
notableStore
Indicates that a store is recognized as notable or significant in some context (e.g., historically, culturally, or commercially).
-
E.
notableStoreType
Indicates that a store is particularly recognized or distinguished for being of a specified type (e.g., a notable example of that kind of store).
- F. None of above. chosen
Provenance (7 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a262d7e64488190aa249cf89d43ad12 |
completed | June 8, 2026, 2:48 a.m. |
| NEDg | Description generation | batch_6a2631f8bfa08190b03c8c18ed55c6e3 |
completed | June 8, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2635e74ca08190a86c7740f0601778 |
completed | June 8, 2026, 3:24 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 28, 2026, 6:17 p.m.