Triple
T26134461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basta village |
E659338
|
entity |
| Predicate | hasSiteTypeNearby |
P120316
|
FINISHED |
| Object | archaeological site |
—
|
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: archaeological site | Statement: [Basta village, hasSiteTypeNearby, archaeological site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiteTypeNearby Context triple: [Basta village, hasSiteTypeNearby, archaeological site]
-
A.
hasNearbySiteType
chosen
Indicates that one entity has another entity of a specified site type located in its close physical vicinity.
-
B.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
-
C.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
D.
hasNearbyPropertyType
Indicates that one entity has another entity of a specified property type located in close physical proximity to it.
-
E.
nearbySitePartOf
Indicates that one site or site component is located close to and is considered part of another, larger site or site component.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 8:16 p.m.