Triple
T5436186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Mosque of Medan |
E122012
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Al Mashun
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
|
E519487
|
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: Al Mashun | Statement: [Great Mosque of Medan, namedAfter, Al Mashun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Mashun Context triple: [Great Mosque of Medan, namedAfter, Al Mashun]
-
A.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
-
B.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
C.
She'eb
She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
-
D.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
E.
Al Mana
Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf 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: Al Mashun Triple: [Great Mosque of Medan, namedAfter, Al Mashun]
Generated description
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Mashun Target entity description: Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
-
A.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
-
B.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
C.
She'eb
She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
-
D.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
E.
Al Mana
Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91bb51d48190aab340d8d25e9a9a |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3acfd0408190877fbe41f1dc45ba |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3c4f3e288190bab81e761017f015 |
completed | March 22, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3cde5004819096988c61b45958ea |
completed | March 22, 2026, 12:50 a.m. |
Created at: March 20, 2026, 2:07 p.m.