Triple
T27823083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government College of Engineering and Textile Technology Serampore |
E702873
|
entity |
| Predicate | offersHostelFacilities |
P181081
|
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: [Government College of Engineering and Textile Technology Serampore, offersHostelFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersHostelFacilities Context triple: [Government College of Engineering and Textile Technology Serampore, offersHostelFacilities, yes]
-
A.
hasGoodsFacilities
Indicates that a location or entity is equipped with facilities for handling, storing, or processing goods or cargo.
-
B.
amenitiesInclude
Indicates that a place or facility provides or contains specific amenities as part of its features.
-
C.
hasAccommodations
chosen
Indicates that one entity provides, contains, or offers lodging, facilities, or special arrangements for another entity.
-
D.
hasBackstageFacilities
Indicates that a venue or location provides backstage areas and related facilities for performers or staff.
-
E.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 27, 2026, 5:49 p.m.