Triple
T7794229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Phra Singh |
E180257
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ubosot
Ubosot is the main ordination hall in a Thai Buddhist temple complex, used for important monastic rituals and ceremonies.
|
E693978
|
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: Ubosot | Statement: [Wat Phra Singh, hasPart, Ubosot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubosot Context triple: [Wat Phra Singh, hasPart, Ubosot]
-
A.
Ukbara
Ukbara was a small medieval town in present-day Iraq, historically known as the birthplace or residence of several Islamic scholars such as Ibn Batta al-Ukbari.
-
B.
Ulawun
Ulawun is one of Papua New Guinea’s most active and dangerous stratovolcanoes, located on the island of New Britain.
-
C.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
-
D.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
-
E.
Otunga
Otunga is the surname of David Otunga, an American lawyer, actor, and former professional wrestler best known for his time in WWE.
- 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: Ubosot Triple: [Wat Phra Singh, hasPart, Ubosot]
Generated description
Ubosot is the main ordination hall in a Thai Buddhist temple complex, used for important monastic rituals and ceremonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ubosot Target entity description: Ubosot is the main ordination hall in a Thai Buddhist temple complex, used for important monastic rituals and ceremonies.
-
A.
Ukbara
Ukbara was a small medieval town in present-day Iraq, historically known as the birthplace or residence of several Islamic scholars such as Ibn Batta al-Ukbari.
-
B.
Ulawun
Ulawun is one of Papua New Guinea’s most active and dangerous stratovolcanoes, located on the island of New Britain.
-
C.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
-
D.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
-
E.
Otunga
Otunga is the surname of David Otunga, an American lawyer, actor, and former professional wrestler best known for his time in WWE.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae939c7388190b36d3e746be27a4d |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13ea96cc819081ac26db3ecf4481 |
completed | March 31, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a3e6da08190bf4f82b59db41333 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:31 p.m.