Triple
T8096621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shemiranat County |
E189001
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Meygun
Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
|
E709063
|
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: Meygun | Statement: [Shemiranat County, contains, Meygun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meygun Context triple: [Shemiranat County, contains, Meygun]
-
A.
Maay
Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
-
B.
Meyr
Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
-
C.
Myra
Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
-
D.
Myra
Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
-
E.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
- 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: Meygun Triple: [Shemiranat County, contains, Meygun]
Generated description
Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meygun Target entity description: Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
-
A.
Maay
Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
-
B.
Meyr
Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
-
C.
Myra
Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
-
D.
Myra
Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
-
E.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429319048190b612c8060a9a24d2 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6414ca048190ac0e644b2c399bfb |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc651eecf481909bf0ea90001c83f3 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664d69a08190b92e34a0e1de48a7 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:30 p.m.