Triple
T23972753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quang Thuận |
E604278
|
entity |
| Predicate | chronologicalOrderInLêThánhTôngReign |
P68464
|
FINISHED |
| Object | first era name |
—
|
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: first era name | Statement: [Quang Thuận, chronologicalOrderInLêThánhTôngReign, first era name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInLêThánhTôngReign Context triple: [Quang Thuận, chronologicalOrderInLêThánhTôngReign, first era name]
-
A.
chronologyWithinReignOf
Indicates that one event or time period occurs entirely within the span of a specified ruler’s reign.
-
B.
chronologicalOrderInSuccessionWar
Indicates the temporal sequence in which entities participate or occur within the context of the Succession War.
-
C.
chronologyOf
chosen
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
D.
chronologicallyInvolvedIn
Indicates that an entity participates in or is associated with an event, process, or activity during a specific time period in a chronological sequence.
-
E.
chronologicallyOrders
Indicates that one entity arranges or sequences other entities according to their positions in time, from earlier to later.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dcef248190a04718f6f436dcc8 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.