Triple
T28482670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongshan culture sites |
E720734
|
entity |
| Predicate | typicalSiteType |
P15047
|
FINISHED |
| Object | settlement |
—
|
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: settlement | Statement: [Hongshan culture sites, typicalSiteType, settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSiteType Context triple: [Hongshan culture sites, typicalSiteType, settlement]
-
A.
typeOfSite
chosen
Indicates the specific category or kind of site that an entity is classified as.
-
B.
siteTypeServed
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
-
C.
typeSite
Indicates that a site is classified as being of a particular type or category.
-
D.
typicalSiteStrategy
Indicates that a site follows a standard or commonly used strategy or approach in its design, operation, or configuration.
-
E.
isTypeSiteOf
Indicates that a site serves as the specific location or setting where a particular type, category, or classification is realized or occurs.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00ada2903481908b28ce55ef97a6c2 |
completed | May 10, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_6a00ad5d23788190b3f9e2de761d39bb |
completed | May 10, 2026, 4:07 p.m. |
Created at: April 28, 2026, 2:56 a.m.