Triple
T6177754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaanxi History Museum |
E137861
|
entity |
| Predicate | collectionIncludesPeriod |
P49868
|
FINISHED |
| Object | Prehistory |
—
|
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: Prehistory | Statement: [Shaanxi History Museum, collectionIncludesPeriod, Prehistory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionIncludesPeriod Context triple: [Shaanxi History Museum, collectionIncludesPeriod, Prehistory]
-
A.
hasCollectionFromPeriod
chosen
Indicates that a collection originates from, or is associated with, a specific historical or temporal period.
-
B.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
-
C.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
D.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
E.
exhibitsPeriod
Indicates that an entity displays, manifests, or shows a particular period or phase as a characteristic or behavior.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc9f3d88190ab46b3b246f5a8df |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.