Triple
T12689644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of India sapphire |
E303167
|
entity |
| Predicate | numberOfRaysInStar |
P54633
|
FINISHED |
| Object | six-rayed star |
—
|
LITERAL 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: six-rayed star | Statement: [Star of India sapphire, numberOfRaysInStar, six-rayed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRaysInStar Context triple: [Star of India sapphire, numberOfRaysInStar, six-rayed star]
-
A.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
B.
numberOfRays
chosen
Indicates the count of rays associated with or emitted by a given entity.
-
C.
numberOfCentralStars
Indicates the quantity of central stars associated with or contained within a given entity or system.
-
D.
numberOfBrightNakedEyeStars
Indicates the count of stars that are bright enough to be seen with the naked eye.
-
E.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
- F. None of above.
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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.