Triple
T8460740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haldi |
E200031
|
entity |
| Predicate | mainCultCenter |
P8490
|
FINISHED |
| Object |
Musasir
Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
|
E735367
|
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: Musasir | Statement: [Haldi, mainCultCenter, Musasir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musasir Context triple: [Haldi, mainCultCenter, Musasir]
-
A.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
B.
Al-Rastan
Al-Rastan is a city in central Syria, located in the Homs Governorate along the Orontes River, known historically for its strategic position and ancient ruins.
-
C.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
D.
Masarra
Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
-
E.
Mizil
Mizil is a small town in southern Romania known for its location in Prahova County and its historical role as a local trade and wine-producing center.
- 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: Musasir Triple: [Haldi, mainCultCenter, Musasir]
Generated description
Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Musasir Target entity description: Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
-
A.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
B.
Al-Rastan
Al-Rastan is a city in central Syria, located in the Homs Governorate along the Orontes River, known historically for its strategic position and ancient ruins.
-
C.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
D.
Masarra
Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
-
E.
Mizil
Mizil is a small town in southern Romania known for its location in Prahova County and its historical role as a local trade and wine-producing center.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49fca788190a8728ff74f4d26f5 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1df214ac8190b59daa88e3a930bc |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce21c53298819080137c87ff487b50 |
completed | April 2, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce23d6da1c8190a28bc895d737595e |
completed | April 2, 2026, 8:07 a.m. |
Created at: March 30, 2026, 6:10 p.m.