Triple
T7459329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antu |
E176203
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object | UVES |
E176893
|
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: UVES | Statement: [Antu, hasInstrument, UVES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UVES Context triple: [Antu, hasInstrument, UVES]
-
A.
UVES
chosen
UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
-
B.
UVEK
UVEK is the German abbreviation for Switzerland’s Federal Department of the Environment, Transport, Energy and Communications, the federal ministry responsible for environmental policy, infrastructure, and related regulatory matters.
-
C.
VUV
VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
-
D.
UVSQ
UVSQ is a French public university located in the Île-de-France region, known for its programs in science, engineering, social sciences, and humanities.
-
E.
UV
UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d332d08190a05c92a00ed09ac6 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c834597d94819081f57de7d5ae30af |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:37 p.m.