Triple
T36705720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOM camera |
E906354
|
entity |
| Predicate | hostMissionArrivalAtMars |
P53866
|
FINISHED |
| Object | 2014-09-24 |
—
|
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: 2014-09-24 | Statement: [MOM camera, hostMissionArrivalAtMars, 2014-09-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostMissionArrivalAtMars Context triple: [MOM camera, hostMissionArrivalAtMars, 2014-09-24]
-
A.
arrivalAtMarsDate
chosen
Indicates the specific date on which an entity arrives at Mars.
-
B.
MarsOrbitInsertion
Indicates the event or process of a spacecraft transitioning into a stable orbit around Mars.
-
C.
landedOnMarsYear
Indicates the specific year in which an entity successfully landed on Mars.
-
D.
hostSpaceAgency
Indicates that one entity serves as the space agency that organizes, manages, or officially represents space-related activities for another entity (such as a mission, event, or facility).
-
E.
missionOnEarth
Indicates that an entity has a mission, assignment, or purpose specifically taking place on Earth.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c80f84248190a9b3276c180191d2 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.