Triple
T6020445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shams-ud-Dīn |
E134048
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Hafezieh, Shiraz |
E519663
|
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: Hafezieh, Shiraz | Statement: [Shams-ud-Dīn, burialPlace, Hafezieh, Shiraz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hafezieh, Shiraz Context triple: [Shams-ud-Dīn, burialPlace, Hafezieh, Shiraz]
-
A.
Hafezieh
chosen
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
-
B.
Meshginshahr
Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
-
C.
Mashhad-e Razavi
Mashhad-e Razavi is a major Iranian city renowned as a leading Shia pilgrimage center and the site of the Imam Reza shrine.
-
D.
Bijar
Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
-
E.
Yazd
Yazd is an ancient desert city in central Iran known for its well-preserved mud-brick architecture, Zoroastrian heritage, and historically significant Jewish community.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108be2170819084b4b940e52b0185 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:07 p.m.