Triple
T20768730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-71 |
E511168
|
entity |
| Predicate | firstEver |
P127186
|
FINISHED |
| Object | first docking of a Space Shuttle with Mir |
—
|
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: first docking of a Space Shuttle with Mir | Statement: [STS-71, firstEver, first docking of a Space Shuttle with Mir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEver Context triple: [STS-71, firstEver, first docking of a Space Shuttle with Mir]
-
A.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
B.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
-
C.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
E.
wasFirstOf
chosen
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24fa1b08190b09ab8fcb87b5c01 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:36 p.m.