Triple
T4500863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaixian, Sichuan, Qing Empire |
E101214
|
entity |
| Predicate | locatedInCivilization |
P25001
|
FINISHED |
| Object | Chinese civilization |
—
|
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: Chinese civilization | Statement: [Kaixian, Sichuan, Qing Empire, locatedInCivilization, Chinese civilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCivilization Context triple: [Kaixian, Sichuan, Qing Empire, locatedInCivilization, Chinese civilization]
-
A.
hasCivilization
chosen
Indicates that an entity possesses, hosts, or is associated with an organized society or culture characterized by social, political, and technological development.
-
B.
hasNearbyAncientCity
Indicates that one entity is located close to another entity that is classified as an ancient city.
-
C.
locatedInOrNearModernSettlement
Indicates that something is situated within or in close proximity to a present-day town, city, or other populated settlement.
-
D.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
E.
locatedInAncientCity
Indicates that an entity is situated within the boundaries or domain of an ancient city.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56f9dca08190b926f40e201a3e97 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.