Triple
T21523085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynx |
E531024
|
entity |
| Predicate | liesBetween |
P1262
|
FINISHED |
| Object | Auriga |
—
|
NE NERFINISHED |
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: Auriga | Statement: [Lynx, liesBetween, Auriga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auriga Context triple: [Lynx, liesBetween, Auriga]
-
A.
Auriga
chosen
Auriga is a prominent northern constellation best known for its bright star Capella and its pentagon-shaped pattern in the winter sky.
-
B.
Bootes
Bootes is a prominent northern constellation best known for its bright orange giant star Arcturus and its kite-shaped pattern in the night sky.
-
C.
Cygnis
Cygnis is a digital product development company specializing in custom web and mobile applications, often leveraging emerging technologies like AI and cloud platforms.
-
D.
Sextans
Sextans is a faint, small constellation in the celestial equator region, named after the astronomical sextant instrument.
-
E.
Cygnus
Cygnus is a prominent northern constellation, often called the Swan, that lies along the Milky Way and contains numerous notable stars and exoplanet-hosting systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884db3ac81909e77d22d607ac72d |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.