Triple
T8096643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shemiranat County |
E189001
|
entity |
| Predicate | hasSkiResort |
P1981
|
FINISHED |
| Object |
Dizin
Dizin is one of Iran’s largest and most popular ski resorts, located in the Alborz Mountains north of Tehran.
|
E709065
|
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: Dizin | Statement: [Shemiranat County, hasSkiResort, Dizin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dizin Context triple: [Shemiranat County, hasSkiResort, Dizin]
-
A.
Dunum
Dunum is a small locality in the Wittmund district of Lower Saxony, Germany, known as a rural community within the East Frisian region.
-
B.
Dilesi
Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
-
C.
Dikili
Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
-
D.
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
E.
Dirdal
Dirdal is a small village in southwestern Norway, situated in a scenic valley within Gjesdal municipality in Rogaland county.
- 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: Dizin Triple: [Shemiranat County, hasSkiResort, Dizin]
Generated description
Dizin is one of Iran’s largest and most popular ski resorts, located in the Alborz Mountains north of Tehran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dizin Target entity description: Dizin is one of Iran’s largest and most popular ski resorts, located in the Alborz Mountains north of Tehran.
-
A.
Dunum
Dunum is a small locality in the Wittmund district of Lower Saxony, Germany, known as a rural community within the East Frisian region.
-
B.
Dilesi
Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
-
C.
Dikili
Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
-
D.
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
E.
Dirdal
Dirdal is a small village in southwestern Norway, situated in a scenic valley within Gjesdal municipality in Rogaland county.
- 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.