Triple
T14401531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludian |
E357083
|
entity |
| Predicate | spokenBy |
P2181
|
FINISHED |
| Object | Ludic people |
E357081
|
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: Ludic people | Statement: [Ludian, spokenBy, Ludic people]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludic people Context triple: [Ludian, spokenBy, Ludic people]
-
A.
Ludic people
chosen
Ludic people are a small Finnic ethnic group of northwestern Russia, closely related to Karelians and known for speaking the Ludian language.
-
B.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
-
C.
Luds
Luds are a small Finno-Ugric ethnic group traditionally inhabiting parts of northwestern Russia, with their own Uralic language and distinct cultural traditions.
-
D.
Lud
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
-
E.
Lud
Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5520c07c8190bfdaf224dd779ced |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.