Triple
T33766066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Wenzong of Tang |
E865232
|
entity |
| Predicate | yearOfSweetDewIncident |
P194622
|
FINISHED |
| Object | 835 |
—
|
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: 835 | Statement: [Emperor Wenzong of Tang, yearOfSweetDewIncident, 835]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfSweetDewIncident Context triple: [Emperor Wenzong of Tang, yearOfSweetDewIncident, 835]
-
A.
שנת_הקמה
Indicates the year in which an entity (such as an organization, place, or structure) was founded or established.
-
B.
awakensInYear
Indicates that an entity becomes awake or active starting in a specified calendar year.
-
C.
hasAllegedFormationYear
Indicates that an entity is associated with a claimed or reported year in which it was formed, though this year may be uncertain or disputed.
-
D.
rescueYear
Indicates the year in which a rescue event involving the entity took place.
-
E.
deposedYear
Indicates the year in which an entity was removed from power or forced out of an official position.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 1, 2026, 1:45 a.m.