Triple
T31042053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar–United Arab Emirates relations |
E791020
|
entity |
| Predicate | crisisStartDate |
P170690
|
FINISHED |
| Object | 2017-06-05 |
—
|
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: 2017-06-05 | Statement: [Qatar–United Arab Emirates relations, crisisStartDate, 2017-06-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crisisStartDate Context triple: [Qatar–United Arab Emirates relations, crisisStartDate, 2017-06-05]
-
A.
crisisPeakPeriod
Indicates the time period during which a crisis reaches its highest intensity or most critical phase.
-
B.
hasCrisisOf
Indicates that an entity is experiencing or undergoing a crisis specifically related to another entity or concept.
-
C.
majorCrisisYear
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
D.
dateOfFirstCriticality
Indicates the date on which a nuclear reactor or system first achieved a self-sustaining nuclear chain reaction (first became critical).
-
E.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f694fa62308190aa7ca49724a6cb06 |
completed | May 3, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 8:59 p.m.