Triple
T36486875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS-1E |
E898956
|
entity |
| Predicate | launchAttemptNumberForPSLV |
P105636
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [IRS-1E, launchAttemptNumberForPSLV, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchAttemptNumberForPSLV Context triple: [IRS-1E, launchAttemptNumberForPSLV, 1]
-
A.
launchAttemptNumber
chosen
Indicates the ordinal count of attempts made to launch something, typically specifying which numbered try a particular launch event represents.
-
B.
launchAttemptCount
Indicates the number of times a launch has been attempted for the associated entity or event.
-
C.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
D.
successfulLaunches
Indicates that one entity has carried out one or more launches that achieved their intended objectives without failure.
-
E.
attemptNumber
Indicates the specific ordinal count of attempts made for a given action or process.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:10 p.m.