Triple
T37496031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranger program |
E931828
|
entity |
| Predicate | impactSiteRegion |
P25846
|
FINISHED |
| Object | Mare Tranquillitatis |
—
|
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: Mare Tranquillitatis | Statement: [Ranger program, impactSiteRegion, Mare Tranquillitatis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactSiteRegion Context triple: [Ranger program, impactSiteRegion, Mare Tranquillitatis]
-
A.
impactRegion
chosen
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
-
B.
missionRegion
Indicates the geographic or administrative region in which a mission is carried out or assigned.
-
C.
associatedRegionFeature
Indicates that something is linked or connected to a particular geographic or regional feature.
-
D.
influencesRegion
Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
-
E.
isRegion
Indicates that one entity functions as a geographic or administrative region associated with another entity.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:17 p.m.