Triple
T6528729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 88-452 |
E151371
|
entity |
| Predicate | createsProgram |
P178
|
FINISHED |
| Object | VISTA |
E151373
|
NE 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: VISTA | Statement: [Public Law 88-452, createsProgram, VISTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VISTA Context triple: [Public Law 88-452, createsProgram, VISTA]
-
A.
VISTA
chosen
VISTA (Volunteers in Service to America) is a national service program in the United States that places volunteers in low-income communities to help alleviate poverty and build local capacity.
-
B.
VISTA
VISTA is a wide-field infrared survey telescope located at ESO’s Paranal Observatory in Chile, designed to map the southern sky in unprecedented detail.
-
C.
VISTA telescope
The VISTA telescope is a 4.1-meter wide-field survey telescope in Chile designed primarily for large-scale near-infrared sky surveys.
-
D.
VISIR
VISIR is a mid-infrared imager and spectrometer used on ESO’s Very Large Telescope to study celestial objects at thermal infrared wavelengths.
-
E.
Yle Vega
Yle Vega is a Finnish Swedish-language radio channel operated by the national public broadcaster Yleisradio (Yle), offering news, culture, and entertainment programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adaafbfc8190a3e3c75ea5958c67 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb7a85dc8190a97138a20728b43f |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:46 p.m.