Triple
T5283581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngurah Rai International Airport |
E119556
|
entity |
| Predicate | formerICAOcode |
P18649
|
FINISHED |
| Object |
WRRR
WRRR was the former ICAO airport code assigned to Ngurah Rai International Airport in Bali, Indonesia.
|
E508409
|
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: WRRR | Statement: [Ngurah Rai International Airport, formerICAOcode, WRRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WRRR Context triple: [Ngurah Rai International Airport, formerICAOcode, WRRR]
-
A.
WRR
WRR is the commonly used abbreviation for the Western Recruiting Region, a U.S. military administrative area responsible for managing recruitment activities across the western United States.
-
B.
RWR
RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
-
C.
WRQ
WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
-
D.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
E.
WARR
WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
- 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: WRRR Triple: [Ngurah Rai International Airport, formerICAOcode, WRRR]
Generated description
WRRR was the former ICAO airport code assigned to Ngurah Rai International Airport in Bali, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WRRR Target entity description: WRRR was the former ICAO airport code assigned to Ngurah Rai International Airport in Bali, Indonesia.
-
A.
WRR
WRR is the commonly used abbreviation for the Western Recruiting Region, a U.S. military administrative area responsible for managing recruitment activities across the western United States.
-
B.
RWR
RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
-
C.
WRQ
WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
-
D.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
E.
WARR
WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c8d2bc8190840699e5a526b756 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e6200881908da623e8548ec051 |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf09d1b9088190a7bf560c8d22d225 |
completed | March 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a77e3b88190904c5ed6ee48ee71 |
completed | March 21, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.