Triple
T32572448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson Explorer |
E832550
|
entity |
| Predicate | productionStatusLate1950s |
P145326
|
FINISHED |
| Object | discontinued |
—
|
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: discontinued | Statement: [Gibson Explorer, productionStatusLate1950s, discontinued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionStatusLate1950s Context triple: [Gibson Explorer, productionStatusLate1950s, discontinued]
-
A.
statusBy1950s
chosen
Indicates the status or condition of something as it existed by the 1950s.
-
B.
odiFifties
Indicates that a player has scored between 50 and 99 runs in a single One Day International (ODI) cricket innings.
-
C.
ODIFifties
Indicates a relationship where something is characterized as being from, associated with, or typical of the 1950s decade.
-
D.
testFifties
Indicates that an entity is associated with, belongs to, or is being evaluated in the context of the 1950s time period.
-
E.
firstClassFifties
Indicates that an entity (such as a player) has scored fifty or more runs in a first-class cricket innings one or more times.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 1, 2026, 1:03 a.m.