Triple
T7871289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mengtian laboratory module |
E182741
|
entity |
| Predicate | roleInStation |
P55401
|
FINISHED |
| Object | provides additional experiment capacity |
—
|
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: provides additional experiment capacity | Statement: [Mengtian laboratory module, roleInStation, provides additional experiment capacity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInStation Context triple: [Mengtian laboratory module, roleInStation, provides additional experiment capacity]
-
A.
roleInFruitvaleStation
Indicates that an entity had a specific role or involvement in the film "Fruitvale Station."
-
B.
roleInPowerStation
Indicates that one entity holds a specific functional role or responsibility within the operation or management of a power station.
-
C.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
D.
associatedWithStationRole
chosen
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
E.
roleInCommandStructure
Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a5950481908399211c5dfe2569 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:55 p.m.