Triple
T7522865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmet Necdet Sezer |
E177814
|
entity |
| Predicate | termLengthAsPresident |
P540
|
FINISHED |
| Object | 7 years |
—
|
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: 7 years | Statement: [Ahmet Necdet Sezer, termLengthAsPresident, 7 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthAsPresident Context triple: [Ahmet Necdet Sezer, termLengthAsPresident, 7 years]
-
A.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
B.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
C.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
D.
spansPresidentialTerm
Indicates that an event, period, or entity extends across the duration of a specified presidential term, covering at least part of that term.
-
E.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.