Triple
T11702094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | assassination of Gabriel Narutowicz |
E278150
|
entity |
| Predicate | timeInOfficeBeforeAssassination |
P101329
|
FINISHED |
| Object | 5 days |
—
|
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: 5 days | Statement: [assassination of Gabriel Narutowicz, timeInOfficeBeforeAssassination, 5 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeBeforeAssassination Context triple: [assassination of Gabriel Narutowicz, timeInOfficeBeforeAssassination, 5 days]
-
A.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
-
B.
endTimeAsHeadOfPresidentialAdministration
Indicates the date and time when an individual’s tenure as head of the presidential administration comes to an end.
-
C.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
D.
periodOfKeyPoliticalRole
Indicates the time span during which an entity held a particular key political role or office.
-
E.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49a025881909377c81d3debf465 |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d89546a8688190b51455b5e12caf91 |
completed | April 10, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:40 p.m.