Triple
T2330383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSLV Mk III |
E48387
|
entity |
| Predicate | thirdStageDesignation |
P38965
|
FINISHED |
| Object | C25 |
—
|
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: C25 | Statement: [GSLV Mk III, thirdStageDesignation, C25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdStageDesignation Context triple: [GSLV Mk III, thirdStageDesignation, C25]
-
A.
thirdStageType
Indicates the specific kind or classification of a third stage within a multi-stage process or structure.
-
B.
thirdStageEngineType
Indicates the specific type or model of engine used in the third stage of a multi-stage launch vehicle or rocket.
-
C.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
D.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
E.
secondPrototypeDesignation
Indicates that an entity is assigned a secondary or alternative prototype designation distinct from its primary prototype identifier.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc2fa25c8190858c1c541b914f4c |
completed | March 7, 2026, 6:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.