Triple
T27215777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghnad |
E681134
|
entity |
| Predicate | feat |
P162260
|
FINISHED |
| Object | defeated Indra in battle |
—
|
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: defeated Indra in battle | Statement: [Meghnad, feat, defeated Indra in battle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feat Context triple: [Meghnad, feat, defeated Indra in battle]
-
A.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
B.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
C.
featuresPractice
Indicates that something includes or offers a particular practice as a notable component or activity.
-
D.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
-
E.
chorusFeature
Indicates that one entity participates in or is highlighted within the chorus section of another entity, such as a song or musical piece.
- 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6261ce2d48190b4e0c750ce4119be |
completed | May 2, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 9:41 a.m.