Triple
T25314710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Theft Auto: Liberty City Stories |
E634702
|
entity |
| Predicate | mobileReleaseYear |
P158380
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Grand Theft Auto: Liberty City Stories, mobileReleaseYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobileReleaseYear Context triple: [Grand Theft Auto: Liberty City Stories, mobileReleaseYear, 2015]
-
A.
yearAnnounced
Indicates the calendar year in which something (such as a product, event, or decision) was formally announced.
-
B.
platformFirstReleased
Indicates the date or time when a platform was initially released or made publicly available.
-
C.
releaseYearOfTargetOS
Indicates the calendar year in which the target operating system was officially released.
-
D.
pcReleaseDate
Indicates the calendar date on which something becomes publicly available or is launched specifically for personal computers.
-
E.
screenDebutYear
Indicates the year in which an entity first appeared on screen (such as in film, television, or other recorded visual media).
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49688f3b881909a7bb16aeea95fbe |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:27 p.m.