Triple
T9837549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar Atmospheric Composition Experiment |
E239140
|
entity |
| Predicate | studiedProperty |
P90254
|
FINISHED |
| Object | tenuous lunar exosphere |
—
|
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: tenuous lunar exosphere | Statement: [Lunar Atmospheric Composition Experiment, studiedProperty, tenuous lunar exosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiedProperty Context triple: [Lunar Atmospheric Composition Experiment, studiedProperty, tenuous lunar exosphere]
-
A.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
B.
property
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
C.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
D.
ownedPropertyWith
Indicates a relationship where one entity owns a particular property jointly or in association with another entity.
-
E.
eligibleProperties
Indicates that certain properties meet the required conditions or criteria to qualify for a specified purpose or status.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb347ff4c81908c312548a25bae71 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.