Triple
T12347063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare des Aubrais-Orléans |
E294382
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
ZIY
ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
|
E978947
|
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: ZIY | Statement: [Gare des Aubrais-Orléans, hasIATAcode, ZIY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZIY Context triple: [Gare des Aubrais-Orléans, hasIATAcode, ZIY]
-
A.
ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
-
B.
Zi
Zi is the ancestral clan name of the royal family that founded and ruled China’s Shang dynasty.
-
C.
ZYR
ZYR is the IATA code for Brussels-South railway station, a major international rail hub in Brussels, Belgium.
-
D.
Ziu
Ziu is the Old High German name for the Germanic god of war and the sky, cognate with the Norse deity Týr.
-
E.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
- 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: ZIY Triple: [Gare des Aubrais-Orléans, hasIATAcode, ZIY]
Generated description
ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZIY Target entity description: ZIY is the IATA airport code assigned to Gare des Aubrais-Orléans, a major railway station serving the Orléans area in France.
-
A.
ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
-
B.
Zi
Zi is the ancestral clan name of the royal family that founded and ruled China’s Shang dynasty.
-
C.
ZYR
ZYR is the IATA code for Brussels-South railway station, a major international rail hub in Brussels, Belgium.
-
D.
Ziu
Ziu is the Old High German name for the Germanic god of war and the sky, cognate with the Norse deity Týr.
-
E.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c55aacc8190a0544306825bdfab |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:53 p.m.