Triple
T7120532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Post Office, Kolkata |
E165937
|
entity |
| Predicate | hasPhilatelicBureau |
P64988
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [General Post Office, Kolkata, hasPhilatelicBureau, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhilatelicBureau Context triple: [General Post Office, Kolkata, hasPhilatelicBureau, yes]
-
A.
hasBanknotesIssuedBy
Indicates that one entity possesses or contains banknotes that were issued by another entity.
-
B.
hasPostalAgency
chosen
Indicates that one entity operates, hosts, or is served by a postal agency associated with another entity.
-
C.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
D.
postalAuthority
Indicates that an entity serves as the official postal or mail-regulating authority for another entity or jurisdiction.
-
E.
hasLandmarkOnBank
Indicates that a landmark is located on the bank (shore or edge) of a geographic feature such as a river, lake, or canal.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61ca6a88190a0eb9f287e3b723c |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.