Triple
T268126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubei Provincial Museum |
E5776
|
entity |
| Predicate | significantPeriodCovered |
P4343
|
FINISHED |
| Object | Prehistoric China |
—
|
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: Prehistoric China | Statement: [Hubei Provincial Museum, significantPeriodCovered, Prehistoric China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantPeriodCovered Context triple: [Hubei Provincial Museum, significantPeriodCovered, Prehistoric China]
-
A.
timePeriodCoveredTo
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
-
B.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
C.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.