Triple
T19425190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VTsSPS |
E485962
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | VTsSPS |
—
|
NE NERFINISHED |
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: VTsSPS | Statement: [VTsSPS, abbreviation, VTsSPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VTsSPS Context triple: [VTsSPS, abbreviation, VTsSPS]
-
A.
VTsSPS
chosen
VTsSPS was the central national trade union council of the Soviet Union, overseeing and coordinating the activities of all official trade unions across the country.
-
B.
VTSP
VTSP is the ICAO airport code for Phuket International Airport, a major international gateway to the island of Phuket in Thailand.
-
C.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
D.
SPS
SPS is the abbreviation of the Socialist Party of Serbia, a major left-wing political party in Serbia.
-
E.
SPS
SPS is the public school district serving the town of Stoneham, Massachusetts, overseeing its local elementary, middle, and high schools.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63218772c8190a48b6cb01bd12b73 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.