Triple
T29329118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philae |
E743729
|
entity |
| Predicate | surfaceContactDuration |
P99865
|
FINISHED |
| Object | about 57 hours of initial operations |
—
|
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 57 hours of initial operations | Statement: [Philae, surfaceContactDuration, about 57 hours of initial operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceContactDuration Context triple: [Philae, surfaceContactDuration, about 57 hours of initial operations]
-
A.
timeOnLand
Indicates the duration that an entity spends on land within a given context or time frame.
-
B.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
-
C.
surfaceOperationsDuration
chosen
Indicates the length of time that surface-related operations or activities are carried out.
-
D.
distanceOfTouchdown
Indicates the measured distance from the line of scrimmage to the point where a touchdown is scored.
-
E.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 1:28 p.m.