Triple
T7851405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariana Islands |
E182061
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Agrihan |
E54698
|
NE 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: Agrihan | Statement: [Mariana Islands, contains, Agrihan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agrihan Context triple: [Mariana Islands, contains, Agrihan]
-
A.
Agrihan
chosen
Agrihan is a remote volcanic island in the Northern Mariana Islands known for its large stratovolcano and rugged, sparsely populated landscape.
-
B.
Agrahayan
Agrahayan is a month in the Bengali calendar traditionally associated with the main rice harvest and various rural festivals in Bengal.
-
C.
Rudali
Rudali is a powerful short story by Indian writer Mahasweta Devi that critiques caste, gender, and economic oppression through the lives of professional mourners in rural India.
-
D.
Gohana
Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
-
E.
Agrotera
Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0d95748190a202258214dda2ae |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:51 p.m.