Triple
T6956397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indore |
E161252
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Malwi |
E616992
|
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: Malwi | Statement: [Indore, language, Malwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malwi Context triple: [Indore, language, Malwi]
-
A.
Malwi
chosen
Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
-
B.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
C.
Mawé
Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
-
D.
Maiwa
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
-
E.
Mawanella
Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacf8c8c8190a25dbacebeb4b66e |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7618afb0c8190b1545328c1cee5de |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:29 p.m.