Triple
T11875751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimadi |
E282521
|
entity |
| Predicate | sharesVocabularyWith |
P2268
|
FINISHED |
| Object | Malvi |
E113527
|
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: Malvi | Statement: [Nimadi, sharesVocabularyWith, Malvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvi Context triple: [Nimadi, sharesVocabularyWith, Malvi]
-
A.
Malvi
chosen
Malvi is an Indo-Aryan language spoken primarily in the Malwa region of central India, especially in parts of Madhya Pradesh and Rajasthan.
-
B.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
C.
Kittu
Kittu is a Mesopotamian deity associated with truth and justice, traditionally regarded as a child or attendant of the sun god Shamash.
-
D.
Chetpet
Chetpet is a neighborhood in Chennai, India, known for its residential areas, educational institutions, and the prominent Chetpet Lake.
-
E.
Pug
Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1a22448190bd0722188c14d7bd |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.