Triple
T15352814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinci Temple |
E367094
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Jinci
Jinci is an ancient temple complex near Taiyuan in Shanxi, China, renowned for its historic architecture, sacred springs, and richly decorated wooden halls.
|
E1152191
|
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: Jinci | Statement: [Jinci Temple, hasAlternativeName, Jinci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinci Context triple: [Jinci Temple, hasAlternativeName, Jinci]
-
A.
Jínova
Jínova is a municipal district within the municipality of San Juan de la Maguana in the San Juan Province of the Dominican Republic.
-
B.
Koji
Koji is a Japanese given name commonly associated with notable figures in entertainment, sports, and the arts.
-
C.
Jasaq
Jasaq is an alternative name for Yassa, the traditional legal code and set of decrees historically attributed to Genghis Khan in the Mongol Empire.
-
D.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
-
E.
Jaga
Jaga is the popular nickname of Jagiellonia Białystok, a professional football club based in Białystok, Poland.
- 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: Jinci Triple: [Jinci Temple, hasAlternativeName, Jinci]
Generated description
Jinci is an ancient temple complex near Taiyuan in Shanxi, China, renowned for its historic architecture, sacred springs, and richly decorated wooden halls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinci Target entity description: Jinci is an ancient temple complex near Taiyuan in Shanxi, China, renowned for its historic architecture, sacred springs, and richly decorated wooden halls.
-
A.
Jínova
Jínova is a municipal district within the municipality of San Juan de la Maguana in the San Juan Province of the Dominican Republic.
-
B.
Koji
Koji is a Japanese given name commonly associated with notable figures in entertainment, sports, and the arts.
-
C.
Jasaq
Jasaq is an alternative name for Yassa, the traditional legal code and set of decrees historically attributed to Genghis Khan in the Mongol Empire.
-
D.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
-
E.
Jaga
Jaga is the popular nickname of Jagiellonia Białystok, a professional football club based in Białystok, Poland.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fd53688190939787a3d6ff3bb9 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff030970588190a793cd710e819635 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff04633de08190867ad3baec6b2b02 |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.