Triple
T15428425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syamsudin Noor International Airport |
E369572
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
WAOO
WAOO is the ICAO airport code assigned to Syamsudin Noor International Airport in Indonesia.
|
E1155582
|
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: WAOO | Statement: [Syamsudin Noor International Airport, ICAOcode, WAOO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAOO Context triple: [Syamsudin Noor International Airport, ICAOcode, WAOO]
-
A.
WOA
WOA is the acronym for the World Olympians Association, the global organization representing and supporting athletes who have competed in the Olympic Games.
-
B.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
C.
AWOC
AWOC (Agricultural Workers Organizing Committee) was a labor organization that played a key role in organizing farmworkers in the United States, particularly Filipino agricultural laborers, and later merged into the United Farm Workers.
-
D.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
E.
AOW
AOW is an abbreviation whose specific meaning depends on context, commonly referring to terms such as “Art of War” or various organizational or legal titles.
- 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: WAOO Triple: [Syamsudin Noor International Airport, ICAOcode, WAOO]
Generated description
WAOO is the ICAO airport code assigned to Syamsudin Noor International Airport in Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WAOO Target entity description: WAOO is the ICAO airport code assigned to Syamsudin Noor International Airport in Indonesia.
-
A.
WOA
WOA is the acronym for the World Olympians Association, the global organization representing and supporting athletes who have competed in the Olympic Games.
-
B.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
C.
AWOC
AWOC (Agricultural Workers Organizing Committee) was a labor organization that played a key role in organizing farmworkers in the United States, particularly Filipino agricultural laborers, and later merged into the United Farm Workers.
-
D.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
E.
AOW
AOW is an abbreviation whose specific meaning depends on context, commonly referring to terms such as “Art of War” or various organizational or legal titles.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b5a328c81909aaa74c6f002875c |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bde8914819087d5d2ac88de34aa |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.