Triple
T4922116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W4 star-forming region |
E110488
|
entity |
| Predicate | locatedInConstellation |
P40
|
FINISHED |
| Object | Cassiopeia |
E453402
|
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: Cassiopeia | Statement: [W4 star-forming region, locatedInConstellation, Cassiopeia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassiopeia Context triple: [W4 star-forming region, locatedInConstellation, Cassiopeia]
-
A.
Cassiopeia
Cassiopeia is a song by Joanna Newsom, known for its intricate harp accompaniment and mythologically inspired lyrics.
-
B.
Cassiopeia
"Cassiopeia" is a track by the indie music project Walnut Whales, known for its gentle, atmospheric style.
-
C.
Cassiopeia
chosen
Cassiopeia is a prominent W-shaped constellation in the northern sky, easily recognizable and rich in notable deep-sky objects and astronomical phenomena.
-
D.
Corona Borealis
Corona Borealis is a small but distinctive northern constellation known for its semicircular arc of stars, often associated in mythology with Ariadne’s crown.
-
E.
Cygnis
Cygnis is a digital product development company specializing in custom web and mobile applications, often leveraging emerging technologies like AI and cloud platforms.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89e731a4819087bf2e55215654d9 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:30 p.m.