Triple
T19084474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikaner Railway |
E467109
|
entity |
| Predicate | regionCharacteristics |
P130244
|
FINISHED |
| Object | arid and semi-arid zones of Thar Desert |
—
|
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: arid and semi-arid zones of Thar Desert | Statement: [Bikaner Railway, regionCharacteristics, arid and semi-arid zones of Thar Desert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionCharacteristics Context triple: [Bikaner Railway, regionCharacteristics, arid and semi-arid zones of Thar Desert]
-
A.
regionalCharacteristic
chosen
Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
-
B.
regionCharacter
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
-
C.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
-
D.
projectCharacteristics
Indicates the defining features, qualities, or attributes that characterize a particular project.
-
E.
domainCharacteristic
Indicates that a domain or area of interest possesses a particular characteristic or defining property.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34600f88190bd96bcc2c5c08d14 |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.