Triple
T21413768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boontling |
E528244
|
entity |
| Predicate | hasNotableLexeme |
P4548
|
FINISHED |
| Object | “bahl” (meaning “good” or “great”) |
—
|
LITERAL 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: “bahl” (meaning “good” or “great”) | Statement: [Boontling, hasNotableLexeme, “bahl” (meaning “good” or “great”)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableLexeme Context triple: [Boontling, hasNotableLexeme, “bahl” (meaning “good” or “great”)]
-
A.
hasNotableWord
chosen
Indicates that an entity is associated with a word or term that is considered notable, distinctive, or significant in some context.
-
B.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
C.
hasNotableInterpretationIn
Indicates that something (such as a work, concept, or symbol) has a significant or widely recognized interpretation within a specified context, field, or tradition.
-
D.
hasNotableSentence
Indicates that an entity is associated with a particularly important, famous, or otherwise noteworthy sentence.
-
E.
hasMajorLexifier
Indicates that a language has another language as its primary lexical source or main contributor of its vocabulary.
- F. None of above.
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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b201ce1481908392c77e5ca40f5f |
completed | April 22, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:44 p.m.