Triple
T15258763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ras Al Khaimah International Airport |
E364716
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
OMRK
OMRK is the ICAO airport code assigned to Ras Al Khaimah International Airport in the United Arab Emirates.
|
E1146966
|
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: OMRK | Statement: [Ras Al Khaimah International Airport, ICAOcode, OMRK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMRK Context triple: [Ras Al Khaimah International Airport, ICAOcode, OMRK]
-
A.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
B.
Orikum
Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
-
C.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
-
D.
Orlem
Orlem is a prominent residential neighborhood in the Malad suburb of Mumbai, known for its churches, schools, and bustling local markets.
-
E.
Ornytion
Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
- 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: OMRK Triple: [Ras Al Khaimah International Airport, ICAOcode, OMRK]
Generated description
OMRK is the ICAO airport code assigned to Ras Al Khaimah International Airport in the United Arab Emirates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OMRK Target entity description: OMRK is the ICAO airport code assigned to Ras Al Khaimah International Airport in the United Arab Emirates.
-
A.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
B.
Orikum
Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
-
C.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
-
D.
Orlem
Orlem is a prominent residential neighborhood in the Malad suburb of Mumbai, known for its churches, schools, and bustling local markets.
-
E.
Ornytion
Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084d11148190919eef8e55569bb9 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f9a0708190bc429692788a63d7 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee6b1a29481908c5c945ef801468d |
completed | May 9, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7b5e3f0819091246455e239996a |
completed | May 9, 2026, 7:52 a.m. |
Created at: April 10, 2026, 3:13 a.m.