Triple
T11096594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eu-LISA |
E262393
|
entity |
| Predicate | managesSystem |
P76502
|
FINISHED |
| Object | VIS |
E858301
|
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: VIS | Statement: [eu-LISA, managesSystem, VIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIS Context triple: [eu-LISA, managesSystem, VIS]
-
A.
VIS
chosen
VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
-
B.
VIS
VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
-
C.
Vis
Vis is a Croatian island in the Adriatic Sea known for its unspoiled nature, historic towns, and former role as a strategic military base.
-
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.
VSI
VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0a02cc8190a15df663d4860163 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.