Triple
T11135429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars Province |
E263396
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mamasani
Mamasani is a county-level city and administrative region in southwestern Iran known for its historical sites and tribal culture within Fars Province.
|
E907993
|
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: Mamasani | Statement: [Fars Province, containsCity, Mamasani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamasani Context triple: [Fars Province, containsCity, Mamasani]
-
A.
Mameyal
Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
-
B.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
C.
Mansaka
Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
-
D.
Mariani
Mariani is a town in Assam, India, known as a key railway hub in the region.
-
E.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
- 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: Mamasani Triple: [Fars Province, containsCity, Mamasani]
Generated description
Mamasani is a county-level city and administrative region in southwestern Iran known for its historical sites and tribal culture within Fars Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamasani Target entity description: Mamasani is a county-level city and administrative region in southwestern Iran known for its historical sites and tribal culture within Fars Province.
-
A.
Mameyal
Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
-
B.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
C.
Mansaka
Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
-
D.
Mariani
Mariani is a town in Assam, India, known as a key railway hub in the region.
-
E.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.