Triple
T16443384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeşil Mosque |
E399362
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yeşil Tomb |
E1197368
|
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: Yeşil Tomb | Statement: [Yeşil Mosque, locatedNear, Yeşil Tomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeşil Tomb Context triple: [Yeşil Mosque, locatedNear, Yeşil Tomb]
-
A.
Yeşil Tomb
chosen
Yeşil Tomb is an early 15th-century Ottoman mausoleum in Bursa, Turkey, renowned for its distinctive turquoise tiles and as the burial place of Sultan Mehmed I.
-
B.
Lemp Mausoleum
Lemp Mausoleum is the grand family tomb of the prominent Lemp brewing family, located within Bellefontaine Cemetery in St. Louis, Missouri.
-
C.
Karakuş Tumulus
Karakuş Tumulus is an ancient funerary monument in southeastern Turkey, notable for its monumental columns and reliefs built as a royal burial site of the Kingdom of Commagene.
-
D.
He Mausoleum
He Mausoleum is the imperial tomb complex that serves as the final resting place of Wanyan Aguda, the founding emperor of the Jurchen-led Jin dynasty in China.
-
E.
مقبرة العود
مقبرة العود هي من أقدم وأشهر المقابر في مدينة الرياض وتُعدّ مدفنًا لعدد من ملوك وأمراء المملكة العربية السعودية.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4b738881908f8a205466397f33 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.