Triple
T2610056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangha |
E58751
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sanggha
Sanggha is an alternative transliteration of "Sangha," the Buddhist monastic community of monks and nuns regarded as one of the Three Jewels of Buddhism.
|
E281274
|
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: Sanggha | Statement: [Sangha, alsoKnownAs, Sanggha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanggha Context triple: [Sangha, alsoKnownAs, Sanggha]
-
A.
Nambui
Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
-
B.
Sanga Bari
Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
C.
Sengcan
Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
-
D.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
-
E.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
- 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: Sanggha Triple: [Sangha, alsoKnownAs, Sanggha]
Generated description
Sanggha is an alternative transliteration of "Sangha," the Buddhist monastic community of monks and nuns regarded as one of the Three Jewels of Buddhism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanggha Target entity description: Sanggha is an alternative transliteration of "Sangha," the Buddhist monastic community of monks and nuns regarded as one of the Three Jewels of Buddhism.
-
A.
Nambui
Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
-
B.
Sanga Bari
Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
C.
Sengcan
Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
-
D.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
-
E.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd86a9c34819082623c4ee2c5069b |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e506188190b6cd3b507dfc353c |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af846ab5888190aa04ee83752208e2 |
completed | March 10, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af84e909308190a6a1a2e818f263c4 |
completed | March 10, 2026, 2:41 a.m. |
Created at: March 6, 2026, 9:50 p.m.