Triple
T14025748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exercise Varuna |
E337450
|
entity |
| Predicate | VarunaIs |
P112529
|
FINISHED |
| Object | Vedic deity associated with water and the oceans |
—
|
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: Vedic deity associated with water and the oceans | Statement: [Exercise Varuna, VarunaIs, Vedic deity associated with water and the oceans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VarunaIs Context triple: [Exercise Varuna, VarunaIs, Vedic deity associated with water and the oceans]
-
A.
VajranabhaIs
Indicates that something or someone is identified as or characterized by being Vajranabha.
-
B.
varnaSystem
Indicates a relationship where individuals or groups are classified according to the traditional hierarchical varna (caste) system.
-
C.
isVariableStar
Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
-
D.
avatarOf
Indicates that one entity serves as the embodiment, representation, or manifested form of another entity.
-
E.
ArtemisIs
Indicates that something or someone is identified as, or has the status/role of, Artemis.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.