Triple
T11119589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangalyaan |
E262980
|
entity |
| Predicate | destination |
P1522
|
FINISHED |
| Object | Mars orbit |
E476460
|
NE 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: Mars orbit | Statement: [Mangalyaan, destination, Mars orbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mars orbit Context triple: [Mangalyaan, destination, Mars orbit]
-
A.
Mars orbit
chosen
Mars orbit is the elliptical path around the planet Mars followed by natural satellites and spacecraft such as Tianwen-1.
-
B.
Earth orbit
Earth orbit is the gravitationally bound path around our planet followed by natural and artificial objects such as satellites and space stations.
-
C.
Orbit
Orbit is a publishing imprint best known for releasing science fiction and fantasy books.
-
D.
Orbit
Orbit is the fuzzy green alien mascot of the Houston Astros, known for his playful antics and fan-friendly entertainment at the team’s baseball games.
-
E.
Orbit
Orbit is a popular brand of sugar-free chewing gum produced by the Wrigley Company, known for its variety of flavors and emphasis on oral health.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af7b72c8190a19dbcbb3a69fb5b |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8084a88190918f1f94ca0119ed |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:28 p.m.