Triple
T36724826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Space Telescope Optical Telescope Assembly |
E907164
|
entity |
| Predicate | hasBaffleSystem |
P194881
|
FINISHED |
| Object | internal light baffles |
—
|
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: internal light baffles | Statement: [Hubble Space Telescope Optical Telescope Assembly, hasBaffleSystem, internal light baffles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaffleSystem Context triple: [Hubble Space Telescope Optical Telescope Assembly, hasBaffleSystem, internal light baffles]
-
A.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
B.
hasBoilerPosition
Indicates the spatial placement or designated location of a boiler relative to another object or within a given environment.
-
C.
hasFillingSystem
Indicates that an entity is equipped with or uses a particular filling system or mechanism.
-
D.
coolingSystemFeatures
Indicates that one entity specifies or provides particular characteristics, components, or capabilities of a cooling system associated with another entity.
-
E.
hasHVACSystems
Indicates that an entity is equipped with or includes one or more HVAC (heating, ventilation, and air conditioning) systems.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 4:12 p.m.