Triple
T10618206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharia |
E295177
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Juang |
E783502
|
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: Juang | Statement: [Kharia, closelyRelatedTo, Juang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juang Context triple: [Kharia, closelyRelatedTo, Juang]
-
A.
Juang
chosen
Juang are an indigenous tribal community of eastern India, primarily residing in Odisha and known for their distinct language and cultural traditions.
-
B.
Benito Tiamzon
Benito Tiamzon was a prominent Filipino communist leader and revolutionary, long regarded as a key figure in directing the Communist Party of the Philippines and its armed struggle.
-
C.
Juan
Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
-
D.
Juan
Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
-
E.
Juan
Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:19 p.m.