Triple
T842293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemen |
E18202
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Taiz
Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
|
E113390
|
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: Taiz | Statement: [Yemen, majorCity, Taiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taiz Context triple: [Yemen, majorCity, Taiz]
-
A.
Sanaʽa
Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
-
B.
Sanaa
Sanaa is a table-service restaurant at Disney’s Animal Kingdom Lodge known for its African-inspired cuisine with Indian flavors and savanna views of roaming wildlife.
-
C.
Kufa
Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
-
D.
Diriyah
Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
-
E.
Aden
Aden is a strategic port city in Yemen located on the Gulf of Aden, historically significant as a major maritime hub and former British colonial stronghold.
- 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: Taiz Triple: [Yemen, majorCity, Taiz]
Generated description
Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taiz Target entity description: Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
-
A.
Sanaʽa
Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
-
B.
Sanaa
Sanaa is a table-service restaurant at Disney’s Animal Kingdom Lodge known for its African-inspired cuisine with Indian flavors and savanna views of roaming wildlife.
-
C.
Kufa
Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
-
D.
Diriyah
Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
-
E.
Aden
Aden is a strategic port city in Yemen located on the Gulf of Aden, historically significant as a major maritime hub and former British colonial stronghold.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe8a0bc81909b54af465e67be1f |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11907a988190945e5e5ec8a26ccf |
completed | March 7, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69ac12f09744819084a8486e157db474 |
completed | March 7, 2026, 11:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1342004881908b9da2192e1aad3f |
completed | March 7, 2026, noon |
Created at: March 1, 2026, 7:38 p.m.