Triple
T16393368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wojskowe Zakłady Uzbrojenia |
E398111
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
WZU
WZU is a Polish defense industry company specializing in the maintenance, modernization, and production of military equipment and armaments.
|
E1209987
|
NE FINISHED |
How this triple was built (4 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: WZU | Statement: [Wojskowe Zakłady Uzbrojenia, hasAbbreviation, WZU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WZU Context triple: [Wojskowe Zakłady Uzbrojenia, hasAbbreviation, WZU]
-
A.
WZPT
WZPT is a Pittsburgh, Pennsylvania FM radio station branded as "96.1 KISS" that features a contemporary hit music format.
-
B.
WJN
WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
-
C.
WUSN
WUSN is a Chicago-based country music radio station commonly known as "US*99."
-
D.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
-
E.
WZZ
WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WZU Triple: [Wojskowe Zakłady Uzbrojenia, hasAbbreviation, WZU]
Generated description
WZU is a Polish defense industry company specializing in the maintenance, modernization, and production of military equipment and armaments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WZU Target entity description: WZU is a Polish defense industry company specializing in the maintenance, modernization, and production of military equipment and armaments.
-
A.
WZPT
WZPT is a Pittsburgh, Pennsylvania FM radio station branded as "96.1 KISS" that features a contemporary hit music format.
-
B.
WJN
WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
-
C.
WUSN
WUSN is a Chicago-based country music radio station commonly known as "US*99."
-
D.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
-
E.
WZZ
WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
- F. None of above. chosen
Provenance (5 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326447a7481909feac905edc707ec |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003575e51c8190a8677f658eb73a30 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a003620f04081908033c5e3c4376721 |
completed | May 10, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00370cee5c819099d226ebc3c1f0fe |
completed | May 10, 2026, 7:43 a.m. |
Created at: April 10, 2026, 5:08 a.m.