Triple
T3490191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanzibar |
E73708
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object |
Shirazi
The Shirazi are a coastal East African ethnic group of mixed African and Persian ancestry, historically influential in the culture and Islamization of regions like Zanzibar.
|
E362981
|
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: Shirazi | Statement: [Zanzibar, ethnicGroup, Shirazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirazi Context triple: [Zanzibar, ethnicGroup, Shirazi]
-
A.
Shiraz
Shiraz is a dark-skinned wine grape variety, also known as Syrah, widely used to produce full-bodied red wines around the world.
-
B.
Sabzevar
Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
-
C.
Zaranj
Zaranj is a key border city in southwestern Afghanistan that serves as an important trade and transit hub with neighboring Iran.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
- 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: Shirazi Triple: [Zanzibar, ethnicGroup, Shirazi]
Generated description
The Shirazi are a coastal East African ethnic group of mixed African and Persian ancestry, historically influential in the culture and Islamization of regions like Zanzibar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirazi Target entity description: The Shirazi are a coastal East African ethnic group of mixed African and Persian ancestry, historically influential in the culture and Islamization of regions like Zanzibar.
-
A.
Shiraz
Shiraz is a dark-skinned wine grape variety, also known as Syrah, widely used to produce full-bodied red wines around the world.
-
B.
Sabzevar
Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
-
C.
Zaranj
Zaranj is a key border city in southwestern Afghanistan that serves as an important trade and transit hub with neighboring Iran.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373bb0e00819087899a394f50295d |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b374bb36548190acd369ccef084907 |
completed | March 13, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3755597d8819081375fab35b75369 |
completed | March 13, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:18 p.m.