Triple
T28374232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 商汤 |
E718713
|
entity |
| Predicate | 所处时代 |
P49296
|
FINISHED |
| Object | 中国商朝 |
—
|
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: 中国商朝 | Statement: [商汤, 所处时代, 中国商朝]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所处时代 Context triple: [商汤, 所处时代, 中国商朝]
-
A.
時代
chosen
Indicates a temporal relationship where something belongs to, occurs in, or is characteristic of a particular era or period in time.
-
B.
historical era
Indicates the broad historical period or epoch during which an entity, event, or phenomenon took place or is associated.
-
C.
historicalPeriodOfCurrentForm
Indicates the historical period during which the entity’s current form, structure, or configuration came into existence or was established.
-
D.
culturalPeriod
Indicates the historical or cultural era with which an entity is associated or during which it was created, used, or significant.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5d1290819087cbb832239699d4 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:02 a.m.