Triple
T15598604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Energy Spectroscopic Instrument |
E374970
|
entity |
| Predicate | numberOfSpectrographs |
P119387
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Dark Energy Spectroscopic Instrument, numberOfSpectrographs, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpectrographs Context triple: [Dark Energy Spectroscopic Instrument, numberOfSpectrographs, 10]
-
A.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
-
B.
numberOfTelescopes
Indicates the quantity of telescopes associated with a given entity or context.
-
C.
spectrographType
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
-
D.
observatoryCount
Indicates the number of observatories associated with or present in relation to a given entity.
-
E.
telescopeArrayMemberCount
Indicates the number of individual telescopes that are part of a given telescope array.
- 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_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. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:12 a.m.