Triple
T15839234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROSAT |
E384058
|
entity |
| Predicate | numberOfSourcesDetected |
P62580
|
FINISHED |
| Object | over 100000 |
—
|
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: over 100000 | Statement: [ROSAT, numberOfSourcesDetected, over 100000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSourcesDetected Context triple: [ROSAT, numberOfSourcesDetected, over 100000]
-
A.
numberOfPointSources
chosen
Indicates the total count of distinct point sources involved or present in a given context or system.
-
B.
numberOfDetectors
Indicates the quantity of detectors associated with or involved in a given entity or system.
-
C.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
D.
samplingSource
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
E.
requiresSources
Indicates that something must be supported, justified, or validated by one or more external sources.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.