Triple
T29656176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balthane |
E750269
|
entity |
| Predicate | traditionalRuralArea |
P140859
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Balthane, traditionalRuralArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalRuralArea Context triple: [Balthane, traditionalRuralArea, true]
-
A.
traditionalSettlementArea
Indicates that an area is recognized as a traditional settlement zone associated with a particular group or community.
-
B.
traditionalSettlement
Indicates that an entity is a settlement characterized by long-established, customary, or historically rooted patterns of habitation and land use.
-
C.
traditionalLifestyleRegion
chosen
Indicates that a region is characterized by or associated with a traditional lifestyle or way of living.
-
D.
traditionalLifestyle
Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
-
E.
traditionalDistrict
Indicates that an entity is located in, associated with, or belongs to a historically recognized or customary administrative or cultural district.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 28, 2026, 6:55 p.m.