Triple
T1807611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haya bint Hussein |
E40255
|
entity |
| Predicate | startTimeOfPresidency |
P14209
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Haya bint Hussein, startTimeOfPresidency, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPresidency Context triple: [Haya bint Hussein, startTimeOfPresidency, 2006]
-
A.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
B.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
C.
presidentInaugurated
Indicates that an individual formally assumes the office of president through an official inauguration event at a specific time and place.
-
D.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
E.
builtDuringPresidencyOf
Indicates that the construction of something occurred while a specified person was serving as president.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.