Triple
T12948248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Historic City of Yazd |
E309823
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
badgirs
Badgirs are traditional Persian windcatcher towers that naturally ventilate and cool buildings in hot, arid climates.
|
E1011501
|
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: badgirs | Statement: [The Historic City of Yazd, knownFor, badgirs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: badgirs Context triple: [The Historic City of Yazd, knownFor, badgirs]
-
A.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Barzanji
Barzanji is a Kurdish family name historically associated with influential religious and political leaders in the region of Iraqi Kurdistan.
-
C.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
D.
Gereshk
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
-
E.
Bijar
Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
- 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: badgirs Triple: [The Historic City of Yazd, knownFor, badgirs]
Generated description
Badgirs are traditional Persian windcatcher towers that naturally ventilate and cool buildings in hot, arid climates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: badgirs Target entity description: Badgirs are traditional Persian windcatcher towers that naturally ventilate and cool buildings in hot, arid climates.
-
A.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Barzanji
Barzanji is a Kurdish family name historically associated with influential religious and political leaders in the region of Iraqi Kurdistan.
-
C.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
D.
Gereshk
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
-
E.
Bijar
Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7790808190826f98e8aff01523 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 9, 2026, 5:43 p.m.