Triple
T7669882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Mechanical Engineering, University of Belgrade |
E173720
|
entity |
| Predicate | countryISO |
P208
|
FINISHED |
| Object | RS |
E576822
|
NE 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: RS | Statement: [Faculty of Mechanical Engineering, University of Belgrade, countryISO, RS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RS Context triple: [Faculty of Mechanical Engineering, University of Belgrade, countryISO, RS]
-
A.
RS
RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
-
B.
RS
chosen
RS is the two-letter ISO 3166-1 alpha-2 country code for Serbia.
-
C.
Rs
Rs is the commonly used currency symbol representing the Nepalese rupee in financial and commercial contexts.
-
D.
Rs
Rs is the currency symbol commonly used to denote the Mauritian rupee.
-
E.
RES
RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c5538881908139881daf41151a |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22442dc8190a26c966e7b06f1a9 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.