Triple
T3874108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salalah Airport |
E92455
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
OOSA
OOSA is the ICAO airport code for Salalah Airport, an international airport serving the city of Salalah in Oman.
|
E395528
|
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: OOSA | Statement: [Salalah Airport, ICAOcode, OOSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OOSA Context triple: [Salalah Airport, ICAOcode, OOSA]
-
A.
OASAM
OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
-
B.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
C.
OASAS
OASAS is the New York State agency responsible for overseeing and supporting addiction prevention, treatment, and recovery services.
-
D.
OSS Society
The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
-
E.
OCS
OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
- 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: OOSA Triple: [Salalah Airport, ICAOcode, OOSA]
Generated description
OOSA is the ICAO airport code for Salalah Airport, an international airport serving the city of Salalah in Oman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OOSA Target entity description: OOSA is the ICAO airport code for Salalah Airport, an international airport serving the city of Salalah in Oman.
-
A.
OASAM
OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
-
B.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
C.
OASAS
OASAS is the New York State agency responsible for overseeing and supporting addiction prevention, treatment, and recovery services.
-
D.
OSS Society
The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
-
E.
OCS
OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec59bea08190b1e193f34944a2ee |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124cdf588190b3b83ee8fb29450a |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5132715888190bc5ba6182965e813 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513b11dcc8190a2c2e3f27b4cf25e |
completed | March 14, 2026, 7:52 a.m. |
Created at: March 9, 2026, 3:20 p.m.