Triple
T2139144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandrayaan-2 |
E46720
|
entity |
| Predicate | landingAttemptResult |
P37028
|
FINISHED |
| Object | hard landing |
—
|
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: hard landing | Statement: [Chandrayaan-2, landingAttemptResult, hard landing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landingAttemptResult Context triple: [Chandrayaan-2, landingAttemptResult, hard landing]
-
A.
landingMethod
Indicates the manner or technique by which something or someone arrives and comes to rest at a destination, typically from the air or space.
-
B.
landingDistance
Indicates the required or actual distance needed for an aircraft or object to complete a landing from approach to full stop.
-
C.
landingArea
Indicates that a location or surface serves as a designated area where something (such as an aircraft, object, or person) can land.
-
D.
launchOutcome
Indicates the result or consequence of a launch event, such as whether it succeeded, failed, or had a specific status or outcome.
-
E.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf71edf08190add69022aabfd49d |
completed | March 7, 2026, 6:02 a.m. |
Created at: March 4, 2026, 7:44 p.m.