Triple
T2169252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 17 |
E46983
|
entity |
| Predicate | sampleMassReturned |
P26037
|
FINISHED |
| Object | about 110.4 kilograms of lunar samples |
—
|
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: about 110.4 kilograms of lunar samples | Statement: [Apollo 17, sampleMassReturned, about 110.4 kilograms of lunar samples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleMassReturned Context triple: [Apollo 17, sampleMassReturned, about 110.4 kilograms of lunar samples]
-
A.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
B.
hasMass_kg
chosen
Indicates that an entity possesses a specific mass measured in kilograms.
-
C.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
-
D.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
E.
returnedBy
Indicates that something is given, sent, or brought back to a previous sender, owner, or source by 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.