Triple
T9359555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phi Beta Kappa Society |
E225242
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ΦΒΚ |
E225241
|
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: ΦΒΚ | Statement: [Phi Beta Kappa Society, abbreviation, ΦΒΚ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ΦΒΚ Context triple: [Phi Beta Kappa Society, abbreviation, ΦΒΚ]
-
A.
ΦΒΚ
chosen
ΦΒΚ is the Greek-letter abbreviation for Phi Beta Kappa, the oldest and one of the most prestigious academic honor societies in the United States, recognizing excellence in the liberal arts and sciences.
-
B.
FBK
FBK is a Russian non-profit organization founded by Alexei Navalny that investigates and exposes government corruption.
-
C.
VFF
VFF is the commonly used abbreviation for the Vietnam Fatherland Front, a major political coalition and mass organization in Vietnam led by the Communist Party.
-
D.
BVB
BVB is the public transport company that operates much of the tram and bus network in Basel, Switzerland.
-
E.
BVB
BVB is the common abbreviation for Borussia Dortmund, a major professional football club based in Dortmund, Germany.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff2ca9081908ccc88651640ed84 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3da85d48190966682b0f1965a53 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:42 p.m.