Triple
T36514827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSLV-C2 |
E900007
|
entity |
| Predicate | numberOfSatellitesDeployed |
P37023
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [PSLV-C2, numberOfSatellitesDeployed, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSatellitesDeployed Context triple: [PSLV-C2, numberOfSatellitesDeployed, 3]
-
A.
numberOfSatellites
chosen
Indicates the quantity of satellites that are associated with or orbit a given entity.
-
B.
numberOfGEOSatellitesPlanned
Indicates the planned quantity of GEO (geostationary) satellites associated with a given entity or mission.
-
C.
numberOfGeostationarySatellites
Indicates the quantity of geostationary satellites associated with a given entity.
-
D.
plannedSatellites
Indicates that certain satellites are intended or scheduled to be launched, deployed, or put into operation in association with a given entity or context.
-
E.
numberOfOnOrbitSpareSatellites
Indicates the quantity of spare satellites that are currently in orbit and available as backups or replacements.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.