Triple
T6782867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tameside College |
E155726
|
entity |
| Predicate | offersQualification |
P49
|
FINISHED |
| Object | BTEC |
E233910
|
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: BTEC | Statement: [Tameside College, offersQualification, BTEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTEC Context triple: [Tameside College, offersQualification, BTEC]
-
A.
BTEC
chosen
BTEC is a vocational qualification from the UK that focuses on practical, career-oriented learning across a wide range of subjects.
-
B.
HNC
HNC is the National Rail station code for Hamilton Central railway station in South Lanarkshire, Scotland.
-
C.
HND
HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
-
D.
HND
HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
-
E.
BCS Academy of Computing
BCS Academy of Computing is a specialist division of the British Computer Society focused on advancing computing education, research, and academic-professional collaboration in the UK.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d289958481908ad4f9467a107083 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d5557881909614819deb335534 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.