Triple
T15060520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahzada |
E379611
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Shahzadeh |
E379611
|
NE FINISHED |
How this triple was built (2 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: Shahzadeh | Statement: [Shahzada, hasFeminineForm, Shahzadeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahzadeh Context triple: [Shahzada, hasFeminineForm, Shahzadeh]
-
A.
Shahzada
chosen
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
B.
Khodabandeh
Khodabandeh is a city in Iran that serves as one of the main urban centers of Zanjan Province.
-
C.
Ghashghaei
The Ghashghaei are a traditionally nomadic Turkic-speaking tribal group of southwestern Iran known for their pastoral lifestyle, rich cultural heritage, and distinctive carpet weaving.
-
D.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
E.
Şahmerdan
Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0fd7dc8190a10c8eb7542c3088 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:01 a.m.