Triple
T36486580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mini-SAR (Chandrayaan-1) |
E898949
|
entity |
| Predicate | observationRegion |
P90127
|
FINISHED |
| Object | lunar north pole |
—
|
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: lunar north pole | Statement: [Mini-SAR (Chandrayaan-1), observationRegion, lunar north pole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationRegion Context triple: [Mini-SAR (Chandrayaan-1), observationRegion, lunar north pole]
-
A.
observesRegion
chosen
Indicates that an entity monitors, watches, or collects information about a specific geographic or spatial region.
-
B.
observedInRegion
Indicates that something has been detected, recorded, or seen occurring within a specified geographic or spatial region.
-
C.
regionOfInterest
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
-
D.
observationSpace
Indicates the defined set of possible observations or sensory inputs that an agent can receive from its environment.
-
E.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.