Triple
T8314769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Koenig |
E194678
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ZFMK
ZFMK is the Zoological Research Museum Alexander Koenig in Bonn, Germany, a major natural history and biodiversity research institution.
|
E725532
|
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: ZFMK | Statement: [Museum Koenig, shortName, ZFMK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFMK Context triple: [Museum Koenig, shortName, ZFMK]
-
A.
FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
-
B.
FZ
FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
C.
GFKZ
GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
-
D.
ZMCK
ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
-
E.
FMCZ
FMCZ is the ICAO airport code for Dzaoudzi–Pamandzi International Airport, the main air gateway to the French overseas department of Mayotte in the Indian Ocean.
- 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: ZFMK Triple: [Museum Koenig, shortName, ZFMK]
Generated description
ZFMK is the Zoological Research Museum Alexander Koenig in Bonn, Germany, a major natural history and biodiversity research institution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZFMK Target entity description: ZFMK is the Zoological Research Museum Alexander Koenig in Bonn, Germany, a major natural history and biodiversity research institution.
-
A.
FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
-
B.
FZ
FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
C.
GFKZ
GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
-
D.
ZMCK
ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
-
E.
FMCZ
FMCZ is the ICAO airport code for Dzaoudzi–Pamandzi International Airport, the main air gateway to the French overseas department of Mayotte in the Indian Ocean.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f52c5cc8190b5a95ee0aa4ddda5 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9583fa8081909778288f4c96de72 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdab5d649c819098a7643d5a0b7827 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2c2e2248190bf52466abaebfe29 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:55 p.m.