Triple
T617033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balochi |
E14427
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Gilaki
Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
|
E77850
|
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: Gilaki | Statement: [Balochi, closelyRelatedTo, Gilaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilaki Context triple: [Balochi, closelyRelatedTo, Gilaki]
-
A.
Zazaki
Zazaki is an Indo-Iranian language spoken primarily in eastern Turkey, often associated with the Zaza people and considered one of the main Kurdish-related dialects or languages.
-
B.
Gorani
Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
-
C.
Kurmanji
Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
-
D.
Tehran dialect
The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
-
E.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
- 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: Gilaki Triple: [Balochi, closelyRelatedTo, Gilaki]
Generated description
Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilaki Target entity description: Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
-
A.
Zazaki
Zazaki is an Indo-Iranian language spoken primarily in eastern Turkey, often associated with the Zaza people and considered one of the main Kurdish-related dialects or languages.
-
B.
Gorani
Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
-
C.
Kurmanji
Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
-
D.
Tehran dialect
The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
-
E.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e22f3688190a512bec3f0347814 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563c40fbc81908b117bc6139507d2 |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a5644ac23c8190b4df2a9f96385fe0 |
completed | March 2, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a564c7011c81908560b563a4cad560 |
completed | March 2, 2026, 10:21 a.m. |
Created at: March 1, 2026, 7:35 p.m.