Triple
T11317096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arecibo L-band Feed Array survey |
E267994
|
entity |
| Predicate | observesSpectralLine |
P84901
|
FINISHED |
| Object | 21 cm neutral hydrogen line |
—
|
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: 21 cm neutral hydrogen line | Statement: [Arecibo L-band Feed Array survey, observesSpectralLine, 21 cm neutral hydrogen line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesSpectralLine Context triple: [Arecibo L-band Feed Array survey, observesSpectralLine, 21 cm neutral hydrogen line]
-
A.
hasSpectralLines
chosen
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
-
B.
hasObservationWavelength
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
C.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
-
D.
dominantEmissionLines
Indicates that the specified emission lines are the most intense or prominent spectral features in the observed emission from an object or region.
-
E.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.