Triple
T3874107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salalah Airport |
E92455
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SLL
SLL is the IATA airport code for Salalah Airport, the main international airport serving the city of Salalah in Oman.
|
E395527
|
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: SLL | Statement: [Salalah Airport, IATAcode, SLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLL Context triple: [Salalah Airport, IATAcode, SLL]
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
.sl
.sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
-
C.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
D.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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: SLL Triple: [Salalah Airport, IATAcode, SLL]
Generated description
SLL is the IATA airport code for Salalah Airport, the main international airport serving the city of Salalah in Oman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLL Target entity description: SLL is the IATA airport code for Salalah Airport, the main international airport serving the city of Salalah in Oman.
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
.sl
.sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
-
C.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
D.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- 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.