Triple
T37860003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leader of the People |
E944299
|
entity |
| Predicate | languageOfMeaning |
P171056
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Leader of the People, languageOfMeaning, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMeaning Context triple: [Leader of the People, languageOfMeaning, English]
-
A.
sourceLanguageMeaning
Indicates that one entity expresses the meaning or sense of another entity in a particular source language.
-
B.
titleLanguageMeaning
Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
-
C.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
D.
meaningInLanguage
chosen
Indicates that an expression or symbol has a particular meaning or interpretation within a specified language.
-
E.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
Created at: May 3, 2026, 4:19 p.m.