Triple
T3906898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini North Observatory |
E87223
|
entity |
| Predicate | numberOfTelescopes |
P52829
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Gemini North Observatory, numberOfTelescopes, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTelescopes Context triple: [Gemini North Observatory, numberOfTelescopes, 1]
-
A.
observatoryCount
Indicates the number of observatories associated with or present in relation to a given entity.
-
B.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
-
C.
telescopeUsed
Indicates that a particular telescope was employed or utilized to perform an observation or related activity.
-
D.
telescopeArrayMemberCount
Indicates the number of individual telescopes that are part of a given telescope array.
-
E.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:22 p.m.