Triple
T17641104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Min (place names) |
E429228
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object |
Min, Iran
Min, Iran is a small settlement located within the modern borders of Iran, likely a village or rural locality rather than a major urban center.
|
E1278799
|
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: Min, Iran | Statement: [Min (place names), refersTo, Min, Iran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Min, Iran Context triple: [Min (place names), refersTo, Min, Iran]
-
A.
Kangavar
Kangavar is a historic town in western Iran, known for its archaeological remains including a large terraced complex traditionally associated with a temple of Anahita.
-
B.
Nehbandan
Nehbandan is a city in eastern Iran known for its desert climate and location within South Khorasan Province.
-
C.
Khalaj
Khalaj is a distinct and archaic Turkic language spoken primarily in central Iran, notable for preserving many features lost in other Turkic languages.
-
D.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
E.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
- 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: Min, Iran Triple: [Min (place names), refersTo, Min, Iran]
Generated description
Min, Iran is a small settlement located within the modern borders of Iran, likely a village or rural locality rather than a major urban center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Min, Iran Target entity description: Min, Iran is a small settlement located within the modern borders of Iran, likely a village or rural locality rather than a major urban center.
-
A.
Kangavar
Kangavar is a historic town in western Iran, known for its archaeological remains including a large terraced complex traditionally associated with a temple of Anahita.
-
B.
Nehbandan
Nehbandan is a city in eastern Iran known for its desert climate and location within South Khorasan Province.
-
C.
Khalaj
Khalaj is a distinct and archaic Turkic language spoken primarily in central Iran, notable for preserving many features lost in other Turkic languages.
-
D.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
E.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020aa7be948190bf0ab64a2908d3b1 |
completed | May 11, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_6a020b51c208819083b1634221929628 |
completed | May 11, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020bd466d881909ffdfe3cf932b980 |
completed | May 11, 2026, 5:03 p.m. |
Created at: April 10, 2026, 6:02 a.m.