Triple
T11119594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangalyaan |
E262980
|
entity |
| Predicate | firstForRegion |
P97650
|
FINISHED |
| Object | first Asian mission to reach Martian orbit |
—
|
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: first Asian mission to reach Martian orbit | Statement: [Mangalyaan, firstForRegion, first Asian mission to reach Martian orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstForRegion Context triple: [Mangalyaan, firstForRegion, first Asian mission to reach Martian orbit]
-
A.
firstReleaseRegion
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
B.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
E.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af7b72c8190a19dbcbb3a69fb5b |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d75112eb1c8190ba1dd51e42e8a7e8 |
completed | April 9, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:28 p.m.