Triple
T15207213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Ivrea |
E363418
|
entity |
| Predicate | sourceOfTitle |
P117121
|
FINISHED |
| Object | comites of Ivrea |
—
|
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: comites of Ivrea | Statement: [County of Ivrea, sourceOfTitle, comites of Ivrea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfTitle Context triple: [County of Ivrea, sourceOfTitle, comites of Ivrea]
-
A.
titleInSources
Indicates that a specific title for an entity is attested or recorded in one or more external sources.
-
B.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
C.
primarySourceTitleInEnglish
Indicates that the predicate specifies the title of a primary source expressed in the English language.
-
D.
titleDerivedFrom
Indicates that the title of one entity is obtained or adapted from another entity.
-
E.
sourceFilmTitle
Indicates the title of the film from which a referenced work, element, or derivative content originates.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:11 a.m.