Triple
T10053927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAPSI |
E208815
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FAPSI |
E208815
|
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: FAPSI | Statement: [FAPSI, shortName, FAPSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAPSI Context triple: [FAPSI, shortName, FAPSI]
-
A.
FAPSI
chosen
FAPSI was a Russian government agency responsible for signals intelligence, secure communications, and information security, functioning as a successor to parts of the Soviet KGB.
-
B.
FAPS
FAPS is a professional honorific title signifying election as a Fellow of the American Physical Society in recognition of exceptional contributions to physics.
-
C.
FSP
FSP is the station code used to identify Schweizer Platz station in the Frankfurt public transport network.
-
D.
FAPM
FAPM is the ICAO airport code for Pietermaritzburg Airport in Pietermaritzburg, South Africa.
-
E.
FASS
FASS is the Faculty of Arts and Social Sciences at Carleton University, encompassing a wide range of humanities and social science disciplines.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfab39408190ac728fe156eed658 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282a3d3148190908f02a9588b700e |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:57 p.m.