Triple
T28717184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ares III crew |
E729990
|
entity |
| Predicate | missionSurfaceHabitat |
P169592
|
FINISHED |
| Object | Ares III Hab (Habitat) |
—
|
NE NERFINISHED |
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: Ares III Hab (Habitat) | Statement: [Ares III crew, missionSurfaceHabitat, Ares III Hab (Habitat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionSurfaceHabitat Context triple: [Ares III crew, missionSurfaceHabitat, Ares III Hab (Habitat)]
-
A.
hostPlanetType
Indicates the type or classification of the planet that serves as the host in the relationship.
-
B.
studiedForHabitability
Indicates that something has been examined or analyzed to determine whether it can support or be suitable for habitation.
-
C.
plannedLandingSiteType
Indicates the type or category of location designated as the intended landing site.
-
D.
usesAtmosphereOf
Indicates that one entity makes use of or operates within the atmospheric conditions or composition associated with another entity.
-
E.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 28, 2026, 5:51 a.m.