Triple
T21139050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian literature |
E520883
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gulistan |
—
|
NE NERFINISHED |
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: Gulistan | Statement: [Iranian literature, notableWork, Gulistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulistan Context triple: [Iranian literature, notableWork, Gulistan]
-
A.
Gulistan
chosen
Gulistan is a classic 13th-century Persian literary work by Saadi, renowned for its elegant prose, moral anecdotes, and reflections on human behavior and society.
-
B.
Gulistan
Gulistan is a town and administrative settlement located in Qilla Abdullah District of Balochistan, Pakistan.
-
C.
Gulistan-e-Johar
Gulistan-e-Johar is a large residential and commercial neighborhood in Karachi, Pakistan, known for its dense population, apartment complexes, and proximity to major city arteries and the airport.
-
D.
Eram-e Sabz
Eram-e Sabz is a metro station in Tehran, Iran, serving as a key stop on the city's urban rail network.
-
E.
Gul-e-Gulmit
Gul-e-Gulmit is an alternative name for Gulmit, a historic village in the Hunza Valley of northern Pakistan known for its scenic mountain landscapes and Wakhi culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235e389881908813909e05d1413a |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.