Triple
T15233480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juma-Jami Mosque |
E364063
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Juma-Jami
Juma-Jami is a historic Friday mosque in Bakhchisaray, Crimea, renowned for its 16th-century Ottoman architecture commissioned by Khan Devlet I Giray.
|
E1144278
|
NE FINISHED |
How this triple was built (4 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: Juma-Jami | Statement: [Juma-Jami Mosque, alsoKnownAs, Juma-Jami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juma-Jami Context triple: [Juma-Jami Mosque, alsoKnownAs, Juma-Jami]
-
A.
Jamma'in
Jamma'in is a Palestinian town in the central West Bank known historically for its olive groves and traditional stone masonry.
-
B.
Lal Salaam
Lal Salaam is an Indian Tamil-language film featuring superstar Rajinikanth in a prominent role, blending sports drama with social and political themes.
-
C.
Jema’a
Jema’a is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
-
D.
Dar El Salam
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
-
E.
Kathumar
Kathumar is a town in the Alwar district of Rajasthan, India, known as a local administrative and market center in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juma-Jami Triple: [Juma-Jami Mosque, alsoKnownAs, Juma-Jami]
Generated description
Juma-Jami is a historic Friday mosque in Bakhchisaray, Crimea, renowned for its 16th-century Ottoman architecture commissioned by Khan Devlet I Giray.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juma-Jami Target entity description: Juma-Jami is a historic Friday mosque in Bakhchisaray, Crimea, renowned for its 16th-century Ottoman architecture commissioned by Khan Devlet I Giray.
-
A.
Jamma'in
Jamma'in is a Palestinian town in the central West Bank known historically for its olive groves and traditional stone masonry.
-
B.
Lal Salaam
Lal Salaam is an Indian Tamil-language film featuring superstar Rajinikanth in a prominent role, blending sports drama with social and political themes.
-
C.
Jema’a
Jema’a is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
-
D.
Dar El Salam
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
-
E.
Kathumar
Kathumar is a town in the Alwar district of Rajasthan, India, known as a local administrative and market center in the region.
- F. None of above. chosen
Provenance (5 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede8eed2c8190adb45306a1ec0faa |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedef546708190bdeedd2c61fdbc86 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:12 a.m.