Triple
T4342075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei Xinqiao International Airport |
E97805
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZSOF
ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
|
E433910
|
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: ZSOF | Statement: [Hefei Xinqiao International Airport, ICAOcode, ZSOF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSOF Context triple: [Hefei Xinqiao International Airport, ICAOcode, ZSOF]
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZSFG
ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
-
C.
SZFO
SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
-
D.
GFSZA
GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
-
E.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
- 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: ZSOF Triple: [Hefei Xinqiao International Airport, ICAOcode, ZSOF]
Generated description
ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZSOF Target entity description: ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZSFG
ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
-
C.
SZFO
SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
-
D.
GFSZA
GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
-
E.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba2b49c81909b7bf87672d71611 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5df98cf5481909dac60a952fab0a9 |
completed | March 14, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e01c65648190a34a86dd5a2c8fc8 |
completed | March 14, 2026, 10:24 p.m. |
Created at: March 12, 2026, 11:14 p.m.