Triple
T20499856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelican Nebula |
E503270
|
entity |
| Predicate | requiresForObservation |
P104432
|
FINISHED |
| Object | dark skies |
—
|
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: dark skies | Statement: [Pelican Nebula, requiresForObservation, dark skies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresForObservation Context triple: [Pelican Nebula, requiresForObservation, dark skies]
-
A.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
B.
hasObservationRequirement
chosen
Indicates that one entity imposes or specifies an observation-related condition or requirement that must be satisfied by another entity or process.
-
C.
observanceRequires
Indicates that carrying out a particular observance or practice is contingent upon, or must be accompanied by, the fulfillment of a specified requirement or condition.
-
D.
requiresForFeature
Indicates that one entity must be present, implemented, or satisfied in order for a particular feature of another entity to be available or function correctly.
-
E.
supportsObservation
Indicates that one entity provides evidence, context, or infrastructure that enables or strengthens the validity of an observation made about 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc10cd08190915b6c29c6473f77 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.