Triple
T5947752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Lamont of Lerwick |
E132320
|
entity |
| Predicate | languageOfTitleHolder |
P66927
|
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: [Baron Lamont of Lerwick, languageOfTitleHolder, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTitleHolder Context triple: [Baron Lamont of Lerwick, languageOfTitleHolder, English]
-
A.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
B.
collectiveTitleLanguage
Indicates the language in which a collective or series title is expressed.
-
C.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
-
D.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
-
E.
hasTitleHolderAlternativeName
Indicates that an entity serving as a title holder is known by an alternative or additional name.
- F. None of above. chosen
Provenance (4 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 4:01 p.m.