Triple
T33094390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calar Alto Observatory |
E846870
|
entity |
| Predicate | primaryObservationType |
P206348
|
FINISHED |
| Object | optical astronomy |
—
|
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: optical astronomy | Statement: [Calar Alto Observatory, primaryObservationType, optical astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryObservationType Context triple: [Calar Alto Observatory, primaryObservationType, optical astronomy]
-
A.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
B.
primaryEventType
Indicates the main or most significant category of event with which an entity, record, or occurrence is primarily associated.
-
C.
primaryCatch
Indicates that an entity is the main or most significant target, recipient, or object captured or obtained in a given context.
-
D.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
E.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:26 a.m.