Triple
T16353317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polska Grupa Zbrojeniowa |
E397110
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Huta Stalowa Wola |
E102995
|
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: Huta Stalowa Wola | Statement: [Polska Grupa Zbrojeniowa, hasSubsidiary, Huta Stalowa Wola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huta Stalowa Wola Context triple: [Polska Grupa Zbrojeniowa, hasSubsidiary, Huta Stalowa Wola]
-
A.
Huta Stalowa Wola
chosen
Huta Stalowa Wola is a major Polish defense and heavy industry manufacturer known for producing artillery systems and armored vehicles.
-
B.
Mszana Dolna
Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
-
C.
Jaworzyna Kamienicka
Jaworzyna Kamienicka is a prominent mountain peak located in the Gorce range of southern Poland, known for its scenic forested slopes and hiking trails.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
- 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.