Triple
T18397268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditi |
E449900
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Amsa |
—
|
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: Amsa | Statement: [Aditi, offspring, Amsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amsa Context triple: [Aditi, offspring, Amsa]
-
A.
Amsa
chosen
Amsa is a Vedic solar deity counted among the Adityas in Hindu mythology.
-
B.
Amaseno
Amaseno is a small Italian town located in the Lazio region, known for its agricultural traditions and scenic position in the Amaseno River valley.
-
C.
Amausi
Amausi is a locality in Lucknow, India, best known for hosting the city’s main airport and associated transport and commercial facilities.
-
D.
Ampari
Ampari is a lesser-known Dogon language variety spoken by a small community in Mali.
-
E.
Amares
Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184777548190818365ee52ac88b7 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.