Triple
T33644089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajendra Prasad Road |
E861908
|
entity |
| Predicate | namedForPersonCountry |
P36990
|
FINISHED |
| Object | India |
—
|
NE NERFINISHED |
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: India | Statement: [Rajendra Prasad Road, namedForPersonCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForPersonCountry Context triple: [Rajendra Prasad Road, namedForPersonCountry, India]
-
A.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
B.
namedForNationalityOfHonouree
chosen
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
C.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
D.
namedAfterCountryService
Indicates that something is named after a country in recognition of that country’s service or contribution.
-
E.
namedForPersonFullName
Indicates that an entity is named after a specific person, identified by that person’s full name.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:42 a.m.