Triple
T5731278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kualanamu International Airport |
E126388
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
WIMM
WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
|
E539466
|
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: WIMM | Statement: [Kualanamu International Airport, ICAOcode, WIMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIMM Context triple: [Kualanamu International Airport, ICAOcode, WIMM]
-
A.
WIMK
WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
-
B.
WMI
WMI is the IATA airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
C.
WLM
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
-
D.
WID
WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
-
E.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
- 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: WIMM Triple: [Kualanamu International Airport, ICAOcode, WIMM]
Generated description
WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIMM Target entity description: WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
A.
WIMK
WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
-
B.
WMI
WMI is the IATA airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
C.
WLM
WLM (Workload Manager) is an IBM z/OS component that dynamically manages and prioritizes system workloads to meet performance goals and service-level objectives.
-
D.
WID
WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
-
E.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025318d688190bd878c5aa1a28728 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05cabceac819095c4a114220efb1a |
completed | March 22, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d30463481909876ca02516d31cc |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:47 p.m.