Triple
T34713856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avcoat |
E1000720
|
entity |
| Predicate | reintroducedFor |
P3018
|
FINISHED |
| Object | Orion Multi-Purpose Crew Vehicle |
—
|
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: Orion Multi-Purpose Crew Vehicle | Statement: [Avcoat, reintroducedFor, Orion Multi-Purpose Crew Vehicle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reintroducedFor Context triple: [Avcoat, reintroducedFor, Orion Multi-Purpose Crew Vehicle]
-
A.
reintroduced
Indicates that an entity that was previously removed, extinct, or absent has been brought back or restored to a place, context, or state.
-
B.
reintroducedFrom
Indicates that an entity has been brought back or restored from a specified prior source, context, or location after having been removed, lost, or discontinued.
-
C.
laterReintroducedBy
Indicates that something previously removed, discontinued, or absent was brought back or reinstated at a subsequent time by a specified agent or entity.
-
D.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
-
E.
introducedFor
chosen
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.