Triple
T12280010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socotra Airport |
E292692
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Seiyun
Seiyun is a historic city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and role as a regional cultural and commercial center.
|
E996199
|
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: Seiyun | Statement: [Socotra Airport, connectsTo, Seiyun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiyun Context triple: [Socotra Airport, connectsTo, Seiyun]
-
A.
Yoboki
Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
-
B.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
-
C.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
- 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: Seiyun Triple: [Socotra Airport, connectsTo, Seiyun]
Generated description
Seiyun is a historic city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and role as a regional cultural and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seiyun Target entity description: Seiyun is a historic city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and role as a regional cultural and commercial center.
-
A.
Yoboki
Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
-
B.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
-
C.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
- 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_69f6685205608190b504ab6e7c73ee51 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 8, 2026, 9:52 p.m.