Triple
T9124739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian states |
E218942
|
entity |
| Predicate | majorUnificationPhase |
P87218
|
FINISHED |
| Object | 1859–1861 |
—
|
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: 1859–1861 | Statement: [Italian states, majorUnificationPhase, 1859–1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorUnificationPhase Context triple: [Italian states, majorUnificationPhase, 1859–1861]
-
A.
majorPhase
Indicates that one phase is a primary or dominant stage within a larger process, lifecycle, or sequence.
-
B.
majorPhaseCompletion
Indicates that a significant or primary phase of a larger process, project, or lifecycle has been fully completed.
-
C.
mainPhase
Indicates that an event, action, or state occurs during the primary or central phase of a larger process or sequence.
-
D.
majorCapturePhase
Indicates a significant or primary stage in a capture process where the main act of seizing, acquiring, or taking control occurs.
-
E.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b7436c8190b45bc6e4d6ec7066 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.