Triple
T38587350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeprun Tram |
E932374
|
entity |
| Predicate | mountUsageAllowed |
P191947
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Deeprun Tram, mountUsageAllowed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountUsageAllowed Context triple: [Deeprun Tram, mountUsageAllowed, true]
-
A.
spaceUsage
Indicates how much physical or storage space is occupied or utilized by an entity relative to the total available space.
-
B.
mountsAvailableFrom
Indicates that certain mounts can be obtained or accessed starting from a specified source, location, or provider.
-
C.
mayAllowUse
Indicates that one entity has the potential or permission to allow another entity to use or access something.
-
D.
maximumUsage
Indicates the highest allowable or observed amount, frequency, or extent to which something can be used within a defined context or period.
-
E.
mayUseStorageType
Indicates that an entity is permitted to use or access a particular type of storage.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 3, 2026, 4:32 p.m.