Triple
T14309114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Róbert Petrovický |
E354775
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | HC TPS |
E887551
|
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: HC TPS | Statement: [Róbert Petrovický, memberOfSportsTeam, HC TPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HC TPS Context triple: [Róbert Petrovický, memberOfSportsTeam, HC TPS]
-
A.
TPS
TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
-
B.
TPS
TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
-
C.
TPS
chosen
TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
-
D.
TPS
TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
-
E.
HTPAP
HTPAP is the UN/LOCODE identifier for the Port of Port-au-Prince, the principal seaport serving Haiti’s capital city.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2e2444819090252684673ff3df |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.