Triple
T28535720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suppiluliuma I |
E722155
|
entity |
| Predicate | sonZannanzaFate |
P164621
|
FINISHED |
| Object | died en route to Egypt under unclear circumstances |
—
|
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: died en route to Egypt under unclear circumstances | Statement: [Suppiluliuma I, sonZannanzaFate, died en route to Egypt under unclear circumstances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sonZannanzaFate Context triple: [Suppiluliuma I, sonZannanzaFate, died en route to Egypt under unclear circumstances]
-
A.
fate
Indicates that an entity is destined or predetermined to experience a particular outcome or course of events beyond its control.
-
B.
fateInSequel
Indicates that the outcome or destiny of an entity is revealed or occurs in a subsequent work, installment, or sequel.
-
C.
fateInLegend
Indicates the ultimate outcome or destiny attributed to an entity within a particular legend or mythic narrative.
-
D.
ascentStageFate
Indicates the outcome or final status of an ascent stage after it has completed its primary mission or operation.
-
E.
fateInFactory
Indicates that an entity meets its end, outcome, or final disposition within a factory setting.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fda797081909e259eb25d51e206 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:31 a.m.