Triple
T10298871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorestan Province |
E241570
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
|
E856302
|
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: Aligudarz | Statement: [Lorestan Province, containsCity, Aligudarz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aligudarz Context triple: [Lorestan Province, containsCity, Aligudarz]
-
A.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
B.
Zaurak
Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
-
C.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
D.
Uzal
Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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: Aligudarz Triple: [Lorestan Province, containsCity, Aligudarz]
Generated description
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aligudarz Target entity description: Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
A.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
B.
Zaurak
Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
-
C.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
D.
Uzal
Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ed50908190962f0d6d049fb964 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d35d5908190bb87100c81f2948a |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d7318402f08190b655bdddbd97ecb9 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d734473ef48190852dbe48742a4273 |
completed | April 9, 2026, 5:08 a.m. |
Created at: April 6, 2026, 11:44 a.m.