Triple
T6392591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golestan |
E143863
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Gulistan |
E22783
|
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: Gulistan | Statement: [Golestan, alsoKnownAs, Gulistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulistan Context triple: [Golestan, alsoKnownAs, 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.
Bustan
Bustan is a celebrated didactic poem by the 13th-century Persian poet Saadi, renowned for its moral tales and reflections on ethics and Sufi philosophy.
-
C.
Bostan
Bostan is a town in Pakistan’s Balochistan province that serves as a regional railway junction and transit point between Quetta and Chaman.
-
D.
Malika-i-Jahan
Malika-i-Jahan is an honorific title meaning "Queen of the World," historically associated with powerful royal women in the Indian subcontinent.
-
E.
Gulshanabad
Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687f5c6c81909c835329c996b311 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6388f42648190adbc2d1c1efa75a5 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:34 p.m.