Triple
T3401458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itō Hirobumi |
E71660
|
entity |
| Predicate | numberOfTimesInOffice |
P49077
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Itō Hirobumi, numberOfTimesInOffice, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesInOffice Context triple: [Itō Hirobumi, numberOfTimesInOffice, 4]
-
A.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
B.
numberOfTimesElectedGeneral
Indicates the number of times an entity has been elected to the position of general.
-
C.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
D.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
E.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.