Triple
T4618605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC 10 |
E100925
|
entity |
| Predicate | hasNeutralHydrogenEnvelope |
P57001
|
FINISHED |
| Object | extended HI envelope |
—
|
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: extended HI envelope | Statement: [IC 10, hasNeutralHydrogenEnvelope, extended HI envelope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeutralHydrogenEnvelope Context triple: [IC 10, hasNeutralHydrogenEnvelope, extended HI envelope]
-
A.
hasApproximateElectronDensity
Indicates that one entity possesses an electron density value that is close to, but not exactly equal to, that of another entity or reference.
-
B.
hasApproximateNeutralHydrogenColumnDensity
Indicates that an entity is associated with an estimated, not precisely measured, value for its column density of neutral hydrogen along the line of sight.
-
C.
hasApproximateHydrogenNumberDensity
Indicates that an entity is associated with a hydrogen number density value that is approximate rather than exact.
-
D.
isHydrophobic
Indicates that one entity has a tendency to repel or avoid interaction with water or aqueous environments.
-
E.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.