Triple
T34085596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravana Nakshatra |
E874167
|
entity |
| Predicate | endDegreeInSign |
P178211
|
FINISHED |
| Object | 23°20′ Capricorn |
—
|
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: 23°20′ Capricorn | Statement: [Shravana Nakshatra, endDegreeInSign, 23°20′ Capricorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endDegreeInSign Context triple: [Shravana Nakshatra, endDegreeInSign, 23°20′ Capricorn]
-
A.
degreeNumber
Indicates the specific numeric value assigned to a degree, such as its level, rank, or sequence number.
-
B.
degreeMap
Indicates a mapping that associates each entity with its corresponding degree or level within a specified structure or context.
-
C.
degreeInX
Indicates that an entity holds an academic degree in a specified field or discipline.
-
D.
degreeNComponent
Indicates that one entity is a component or part of another entity specifically in the context of its degree or level.
-
E.
degreeOver
Indicates that one entity’s degree, level, or extent exceeds that of another entity.
- F. None of above. chosen
Provenance (4 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.