Triple
T7946123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enshi Xujiaping Airport |
E184501
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ZHES
ZHES is the ICAO airport code assigned to Enshi Xujiaping Airport in Hubei Province, China.
|
E704490
|
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: ZHES | Statement: [Enshi Xujiaping Airport, ICAOcode, ZHES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZHES Context triple: [Enshi Xujiaping Airport, ICAOcode, ZHES]
-
A.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
B.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
C.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
-
D.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
E.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
- 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: ZHES Triple: [Enshi Xujiaping Airport, ICAOcode, ZHES]
Generated description
ZHES is the ICAO airport code assigned to Enshi Xujiaping Airport in Hubei Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZHES Target entity description: ZHES is the ICAO airport code assigned to Enshi Xujiaping Airport in Hubei Province, China.
-
A.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
B.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
C.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
D.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
-
E.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.