Triple
T17953270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navagraha |
E448883
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rahu |
—
|
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: Rahu | Statement: [Navagraha, hasPart, Rahu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahu Context triple: [Navagraha, hasPart, Rahu]
-
A.
Rahu
chosen
Rahu is a shadowy celestial deity in Hindu astrology and mythology, associated with eclipses, karmic obstacles, and one of the nine planetary influences (Navagraha).
-
B.
Varuna
Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
-
C.
Varuna
Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
-
D.
Ratak
Ratak is a chain of low-lying coral atolls and islands in the Marshall Islands, located in the central Pacific Ocean and known for its remote, sparsely populated communities.
-
E.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afae2aa081909a59a8cd4f1d04e1 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.