Triple
T38070070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titan |
E950567
|
entity |
| Predicate | primarySurfaceLiquids |
P109382
|
FINISHED |
| Object | liquid methane |
—
|
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: liquid methane | Statement: [Titan, primarySurfaceLiquids, liquid methane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySurfaceLiquids Context triple: [Titan, primarySurfaceLiquids, liquid methane]
-
A.
primaryFluidType
chosen
Indicates the main kind of fluid associated with, used by, or flowing through an entity.
-
B.
densityLiquid
Indicates that the predicate specifies the mass per unit volume of a substance when it is in its liquid state.
-
C.
usesSurfaceWater
Indicates that one entity relies on or draws from surface water sources (such as rivers, lakes, or reservoirs) for its activities or needs.
-
D.
secondarySurface
Indicates a relationship where one surface functions as a secondary or subordinate surface in relation to a primary or main surface.
-
E.
surfaceWater
Indicates that one entity consists of or contains surface-level water 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.