Triple
T18953336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathaf: Arab Museum of Modern Art |
E463709
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Mathaf
Mathaf is a museum in Doha, Qatar dedicated to modern and contemporary Arab art, showcasing works from the 19th century to the present.
|
E1351052
|
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: Mathaf | Statement: [Mathaf: Arab Museum of Modern Art, alsoKnownAs, Mathaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathaf Context triple: [Mathaf: Arab Museum of Modern Art, alsoKnownAs, Mathaf]
-
A.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
-
B.
Masfout
Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
-
C.
Matatā
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
-
D.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
-
E.
Matatū
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
- 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: Mathaf Triple: [Mathaf: Arab Museum of Modern Art, alsoKnownAs, Mathaf]
Generated description
Mathaf is a museum in Doha, Qatar dedicated to modern and contemporary Arab art, showcasing works from the 19th century to the present.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mathaf Target entity description: Mathaf is a museum in Doha, Qatar dedicated to modern and contemporary Arab art, showcasing works from the 19th century to the present.
-
A.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
-
B.
Masfout
Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
-
C.
Matatā
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
-
D.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
-
E.
Matatū
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d544fef8819091147189ddd89617 |
completed | April 20, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd2cd4081909f9fa013bb8f2aec |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a161c8e88190a6f9c9abe3314487 |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1cb500481908608daee7537dd0c |
completed | May 14, 2026, 10:19 a.m. |
Created at: April 10, 2026, noon