Triple
T37163888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VobSub |
E920744
|
entity |
| Predicate | storesInIDX |
P57371
|
FINISHED |
| Object | timing and index information |
—
|
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: timing and index information | Statement: [VobSub, storesInIDX, timing and index information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesInIDX Context triple: [VobSub, storesInIDX, timing and index information]
-
A.
storesIndexesIn
chosen
Indicates that one entity maintains and holds index data within another storage entity or system.
-
B.
storesInterfaceIn
Indicates that one entity keeps or maintains an interface definition within another entity (such as a container, module, or storage location).
-
C.
storesInSUB
Indicates that one entity keeps or places another entity inside a subordinate or subsidiary location or container.
-
D.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
E.
reportedlyStores
Indicates that an entity is said or believed, based on reports or claims, to store or hold another entity, without confirming that this storage actually occurs.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:15 p.m.