Triple
T27752830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-113 |
E701254
|
entity |
| Predicate | associatedStationModule |
P202206
|
FINISHED |
| Object | Integrated Truss Structure |
—
|
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: Integrated Truss Structure | Statement: [STS-113, associatedStationModule, Integrated Truss Structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStationModule Context triple: [STS-113, associatedStationModule, Integrated Truss Structure]
-
A.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
B.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
-
C.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
-
D.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
E.
associatedWithOperatorOfStationIdentified
Indicates a relationship where something is linked to the operator of a specific station that has been identified.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
| PDg | Predicate description generation | batch_6a0062e60b648190b59ea90cb7918b9a |
completed | May 10, 2026, 10:50 a.m. |
Created at: April 27, 2026, 4:21 p.m.