Triple
T32212853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3D-HST survey |
E822853
|
entity |
| Predicate | areaOnSky |
P20375
|
FINISHED |
| Object | ≈625 square arcminutes |
—
|
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: ≈625 square arcminutes | Statement: [3D-HST survey, areaOnSky, ≈625 square arcminutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOnSky Context triple: [3D-HST survey, areaOnSky, ≈625 square arcminutes]
-
A.
areaSquareDegrees
chosen
Indicates the extent of a region or object measured as an area on the sky in square degrees.
-
B.
locatedInSkyRegion
Indicates that an entity is situated within or associated with a specific region or area of the sky.
-
C.
skyCoverageUnit
Indicates the unit of measurement used to express the extent or fraction of sky coverage.
-
D.
rankByBrightnessInNightSky
Indicates the relative ordering of celestial objects based on how bright they appear in the night sky.
-
E.
skyQuality
Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb9412e8819091bd6ee4a29257b7 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:37 a.m.