Triple
T12280022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socotra Airport |
E292692
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object |
SCT
SCT is the IATA airport code for Socotra Airport, which serves the remote Socotra Island in Yemen.
|
E975974
|
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: SCT | Statement: [Socotra Airport, iataCode, SCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCT Context triple: [Socotra Airport, iataCode, SCT]
-
A.
SCT
SCT is the Mexican federal government agency responsible for overseeing the country’s communications and transportation infrastructure and policies.
-
B.
SCTS
SCTS is the Scottish Courts and Tribunals Service, the body responsible for administering Scotland’s courts, tribunals, and associated justice services.
-
C.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
D.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
E.
SCC
SCC is the three-letter IATA airport code for Deadhorse Airport, which serves the Prudhoe Bay oil fields in northern Alaska.
- 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: SCT Triple: [Socotra Airport, iataCode, SCT]
Generated description
SCT is the IATA airport code for Socotra Airport, which serves the remote Socotra Island in Yemen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCT Target entity description: SCT is the IATA airport code for Socotra Airport, which serves the remote Socotra Island in Yemen.
-
A.
SCT
SCT is the Mexican federal government agency responsible for overseeing the country’s communications and transportation infrastructure and policies.
-
B.
SCTS
SCTS is the Scottish Courts and Tribunals Service, the body responsible for administering Scotland’s courts, tribunals, and associated justice services.
-
C.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
D.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
E.
SCC
SCC is the three-letter IATA airport code for Deadhorse Airport, which serves the Prudhoe Bay oil fields in northern Alaska.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6f46f08190839ba07ef6fac984 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622de74f0819096c5f5bf6f938fe7 |
completed | May 2, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62379746c8190bc9da48775b86dfa |
completed | May 2, 2026, 4:16 p.m. |
Created at: April 8, 2026, 9:52 p.m.