Triple
T23221774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lai people |
E580913
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Lai |
—
|
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: Lai | Statement: [Lai people, ethnonym, Lai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lai Context triple: [Lai people, ethnonym, Lai]
-
A.
Lai
chosen
The Lai are an indigenous ethnic group of the broader Mizo community, primarily inhabiting parts of northeast India and neighboring Myanmar, with their own distinct language and cultural traditions.
-
B.
Lai
Lai is a variant spelling of the Chinese surname Li, commonly found in Chinese-speaking communities and their diasporas.
-
C.
Lia
Lia is a central character in Umberto Eco's novel "Foucault's Pendulum," serving as a grounding, humanizing presence amid the book's dense intellectual conspiracies and esoteric themes.
-
D.
Lia
Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
-
E.
Lari
Lari is a town in Kenya’s Central Region, known for its agricultural activities and its location within Kiambu County.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1922924308190a26b00e09ce60ecd |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:08 p.m.