Triple
T26369224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Song |
E660724
|
entity |
| Predicate | partOfLargerSequence |
P146375
|
FINISHED |
| Object | Six Dynasties period |
—
|
NE NERFINISHED |
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: Six Dynasties period | Statement: [Liu Song, partOfLargerSequence, Six Dynasties period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLargerSequence Context triple: [Liu Song, partOfLargerSequence, Six Dynasties period]
-
A.
usesSequence
Indicates that one entity employs or relies on a specific ordered sequence of elements, steps, or events in performing an action or defining a relationship.
-
B.
partOfSeriesOfEvents
Indicates that an event is one element within a larger, ordered sequence of related events.
-
C.
eraSequence
Indicates that one era or time period directly follows or precedes another in a chronological sequence.
-
D.
partOfAfter
Indicates that one entity becomes a component or subset of another entity at some point after a specified time or event.
-
E.
containedPartOf
chosen
Indicates that one entity is physically or logically included within and forms a part of another entity.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 26, 2026, 10:57 p.m.