Triple
T20002535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Calán |
E494368
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object | National Astronomical Observatory of Chile (facilities) |
—
|
NE NERFINISHED |
How this triple was built (3 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: National Astronomical Observatory of Chile (facilities) | Statement: [Cerro Calán, hasFacility, National Astronomical Observatory of Chile (facilities)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Astronomical Observatory of Chile (facilities) Context triple: [Cerro Calán, hasFacility, National Astronomical Observatory of Chile (facilities)]
-
A.
CTIO
CTIO is a major astronomical observatory complex in Chile known for its optical and infrared telescopes used in cutting-edge research on the southern sky.
-
B.
La Silla Observatory
La Silla Observatory is a major European Southern Observatory (ESO) facility in Chile known for its high-altitude optical telescopes that have contributed significantly to exoplanet and stellar research.
-
C.
Cerro Pachón Observatory site
Cerro Pachón Observatory site is a major astronomical complex in Chile’s Andes that hosts multiple world-class telescopes used for cutting-edge optical and infrared observations.
-
D.
Paranal Observatory
Paranal Observatory is a major astronomical research facility in Chile’s Atacama Desert that hosts the European Southern Observatory’s Very Large Telescope array.
-
E.
Arequipa Observatory, Peru
Arequipa Observatory in Peru was a late-19th-century astronomical observatory used by Harvard College Observatory, notably by William Henry Pickering, for pioneering photographic studies of the southern sky.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Astronomical Observatory of Chile (facilities) Target entity description: The National Astronomical Observatory of Chile (facilities) is a major Chilean astronomical research complex that hosts telescopes and related infrastructure used for professional observations and academic training.
-
A.
CTIO
CTIO is a major astronomical observatory complex in Chile known for its optical and infrared telescopes used in cutting-edge research on the southern sky.
-
B.
La Silla Observatory
La Silla Observatory is a major European Southern Observatory (ESO) facility in Chile known for its high-altitude optical telescopes that have contributed significantly to exoplanet and stellar research.
-
C.
Cerro Pachón Observatory site
Cerro Pachón Observatory site is a major astronomical complex in Chile’s Andes that hosts multiple world-class telescopes used for cutting-edge optical and infrared observations.
-
D.
Paranal Observatory
Paranal Observatory is a major astronomical research facility in Chile’s Atacama Desert that hosts the European Southern Observatory’s Very Large Telescope array.
-
E.
Arequipa Observatory, Peru
Arequipa Observatory in Peru was a late-19th-century astronomical observatory used by Harvard College Observatory, notably by William Henry Pickering, for pioneering photographic studies of the southern sky.
- F. None of above. chosen
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a2e34481908a495cc5d077c41f |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.