Triple
T10358562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persepolis Tehran |
E244067
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Piroozi
Piroozi is a popular nickname for Persepolis Tehran, one of Iran’s most successful and widely supported football clubs.
|
E858586
|
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: Piroozi | Statement: [Persepolis Tehran, alsoKnownAs, Piroozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piroozi Context triple: [Persepolis Tehran, alsoKnownAs, Piroozi]
-
A.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
B.
Piro
Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
-
C.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
D.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
E.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
- 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: Piroozi Triple: [Persepolis Tehran, alsoKnownAs, Piroozi]
Generated description
Piroozi is a popular nickname for Persepolis Tehran, one of Iran’s most successful and widely supported football clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piroozi Target entity description: Piroozi is a popular nickname for Persepolis Tehran, one of Iran’s most successful and widely supported football clubs.
-
A.
Ghomari
Ghomari is an alternative name for the Ghomara language, a Northern Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
C.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
D.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
E.
Siyavash
Siyavash is a tragic prince and hero in the Persian epic Shahnameh, renowned for his innocence, loyalty, and unjust death.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b02ae48190898f9f97ab19ce60 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.