Triple
T29992744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | positronium |
E761922
|
entity |
| Predicate | hasSpectralLinesSimilarTo |
P94757
|
FINISHED |
| Object | hydrogen spectral lines |
—
|
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: hydrogen spectral lines | Statement: [positronium, hasSpectralLinesSimilarTo, hydrogen spectral lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectralLinesSimilarTo Context triple: [positronium, hasSpectralLinesSimilarTo, hydrogen spectral lines]
-
A.
hasSpectralLines
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
-
B.
hasSimilarMetallicityTo
Indicates that two entities share a comparable or closely matching metallicity (i.e., abundance of elements heavier than helium).
-
C.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
-
D.
hasSpectralObservation
Indicates that a spectral measurement or observation has been made of an entity, linking it to the corresponding spectral data or record.
-
E.
hasSimilarityTo
chosen
Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 29, 2026, 6:39 p.m.