Triple
T18746911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .ye |
E458428
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
TeleYemen
TeleYemen is Yemen’s primary telecommunications company, providing international and domestic voice and data services across the country.
|
E1341271
|
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: TeleYemen | Statement: [.ye, sponsor, TeleYemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TeleYemen Context triple: [.ye, sponsor, TeleYemen]
-
A.
Yemeni corner
The Yemeni corner is the southwestern corner of the Kaaba in Mecca, revered in Islamic tradition as a spot where many pilgrims touch or gesture toward it while performing the circumambulation (tawaf).
-
B.
IS-Yemen
IS-Yemen is a regional branch of the Islamic State militant group that operates primarily within Yemen, conducting insurgent and terrorist activities.
-
C.
Min, Yemen
Min, Yemen is a locality in Yemen whose name is used as a geographic place designation.
-
D.
Taysir
Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
-
E.
Yemeni civil aviation network
The Yemeni civil aviation network is the national system of airports, air routes, and related infrastructure that supports domestic and international air transport across Yemen.
- 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: TeleYemen Triple: [.ye, sponsor, TeleYemen]
Generated description
TeleYemen is Yemen’s primary telecommunications company, providing international and domestic voice and data services across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TeleYemen Target entity description: TeleYemen is Yemen’s primary telecommunications company, providing international and domestic voice and data services across the country.
-
A.
Yemeni corner
The Yemeni corner is the southwestern corner of the Kaaba in Mecca, revered in Islamic tradition as a spot where many pilgrims touch or gesture toward it while performing the circumambulation (tawaf).
-
B.
IS-Yemen
IS-Yemen is a regional branch of the Islamic State militant group that operates primarily within Yemen, conducting insurgent and terrorist activities.
-
C.
Min, Yemen
Min, Yemen is a locality in Yemen whose name is used as a geographic place designation.
-
D.
Taysir
Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
-
E.
Yemeni civil aviation network
The Yemeni civil aviation network is the national system of airports, air routes, and related infrastructure that supports domestic and international air transport across Yemen.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e576936cf08190b3c0d2f4e8a616fc |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d330ff48190b090399fe726383d |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053e216ce0819093f0e9e9b707fca8 |
completed | May 14, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053ed266a481908dc9ff85e1d7cf4f |
completed | May 14, 2026, 3:17 a.m. |
Created at: April 10, 2026, 11:51 a.m.