Triple
T15598596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Energy Spectroscopic Instrument |
E374970
|
entity |
| Predicate | targetNumberOfGalaxiesAndQuasars |
P23278
|
FINISHED |
| Object | tens of millions |
—
|
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: tens of millions | Statement: [Dark Energy Spectroscopic Instrument, targetNumberOfGalaxiesAndQuasars, tens of millions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetNumberOfGalaxiesAndQuasars Context triple: [Dark Energy Spectroscopic Instrument, targetNumberOfGalaxiesAndQuasars, tens of millions]
-
A.
approximateNumberOfGalaxies
chosen
Indicates an estimated or roughly calculated count of galaxies associated with a given subject.
-
B.
numberOfMainGalaxies
Indicates the count of primary or central galaxies associated with a given system or context.
-
C.
targetGalaxy
Indicates that one entity is the galaxy toward which another entity is directed, aimed, or focused.
-
D.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
E.
plannedConstellationSize
Indicates the intended total number of units or elements that are planned to be included in a constellation.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.