Triple
T16353341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesko |
E397111
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MESKO S.A. |
E398119
|
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: MESKO S.A. | Statement: [Mesko, abbreviation, MESKO S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MESKO S.A. Context triple: [Mesko, abbreviation, MESKO S.A.]
-
A.
PKP S.A.
PKP S.A. is Poland’s state-owned railway company responsible for managing much of the country’s rail infrastructure and related assets.
-
B.
Morar Group
The Morar Group is a sequence of metamorphic rock formations in the Scottish Highlands that forms part of the ancient Moine geology.
-
C.
Telesystem-Mesko
chosen
Telesystem-Mesko is a Polish defense company known for developing advanced guided missile and precision weapon systems.
-
D.
Total S.A.
Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
-
E.
Luso spa
Luso spa is a renowned Portuguese thermal resort known for its mineral-rich waters and wellness treatments, located in the municipality of Mealhada.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2faccab748190b11e0808e422f2ea |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db841dc8190bfe8a0d8fca1b309 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.