Triple
T28201424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holašovice Historic Village |
E716892
|
entity |
| Predicate | numberOfFarmsteads |
P109793
|
FINISHED |
| Object | 23 |
—
|
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: 23 | Statement: [Holašovice Historic Village, numberOfFarmsteads, 23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFarmsteads Context triple: [Holašovice Historic Village, numberOfFarmsteads, 23]
-
A.
estimatedFarmCount
chosen
Indicates the estimated number of farms associated with or present in a given context or entity.
-
B.
tenantFarmersCount
Indicates the number of tenant farmers associated with a particular landholding, property, or area.
-
C.
servesAsFarmSystemFor
Indicates that one entity functions as a developmental or feeder system that supplies trained or prepared resources (such as players, talent, or products) to another entity.
-
D.
farmingStructure
Indicates that one entity is a structure or facility used for farming-related activities in relation to another entity.
-
E.
hasFarm
Indicates that one entity owns, operates, or is responsible for a farm associated with another entity.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 27, 2026, 10:31 p.m.