Triple
T32257230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Deep Field |
E824056
|
entity |
| Predicate | observationDuration |
P16211
|
FINISHED |
| Object | 10 consecutive days |
—
|
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 consecutive days | Statement: [Hubble Deep Field, observationDuration, 10 consecutive days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationDuration Context triple: [Hubble Deep Field, observationDuration, 10 consecutive days]
-
A.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
B.
visibilityDuration
chosen
Indicates the length of time for which something remains visible or observable.
-
C.
sectorObservationTime
Indicates the specific time at which an observation related to a particular sector is made or recorded.
-
D.
observationBestTime
Indicates that there is an identified optimal or most suitable time period during which the observation of something should be made.
-
E.
eraDuration
Indicates the length of time that a particular era or period spans.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 12:41 a.m.