Triple
T29248375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SV-001 Metal Slug tank |
E741495
|
entity |
| Predicate | seriesLore |
P178803
|
FINISHED |
| Object | classified as Super Vehicle-001 in-game |
—
|
NE NERFINISHED |
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: classified as Super Vehicle-001 in-game | Statement: [SV-001 Metal Slug tank, seriesLore, classified as Super Vehicle-001 in-game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesLore Context triple: [SV-001 Metal Slug tank, seriesLore, classified as Super Vehicle-001 in-game]
-
A.
seriesOrigin
Indicates that one entity is the original source or starting point from which a series or sequence of related entities is derived.
-
B.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
-
C.
eraOfStory
Indicates the historical or temporal period in which the events of a story take place.
-
D.
mainSeries
Indicates that one creative work is the primary or canonical series to which another related work (such as a spin-off, side story, or adaptation) belongs.
-
E.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 28, 2026, 12:33 p.m.