Triple
T35727184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IN-PB |
E1032645
|
entity |
| Predicate | relatedCodeForCountry |
P206025
|
FINISHED |
| Object | IN |
—
|
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: IN | Statement: [IN-PB, relatedCodeForCountry, IN]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedCodeForCountry Context triple: [IN-PB, relatedCodeForCountry, IN]
-
A.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
B.
componentCountryCode
Indicates that one entity specifies the country code associated with a component of another entity.
-
C.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
D.
associatedCountryCodePrefix
Indicates that one entity has a country code prefix that is associated with, or corresponds to, the other entity.
-
E.
codeForCountryInRegion
Indicates that a specific country code is associated with, or belongs to, a particular geographic or political region.
- F. None of above. chosen
Provenance (4 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:05 p.m.