Triple
T16642505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To-ji |
E404376
|
entity |
| Predicate | pairedWith |
P3159
|
FINISHED |
| Object |
Sai-ji
Sai-ji is a historic Buddhist temple in Kyoto, Japan, traditionally regarded as the western counterpart to the famous Tō-ji temple.
|
E1225487
|
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: Sai-ji | Statement: [To-ji, pairedWith, Sai-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sai-ji Context triple: [To-ji, pairedWith, Sai-ji]
-
A.
Saiun
Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
-
B.
Saibai
Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
-
C.
Eiheiji
Eiheiji is a major Zen Buddhist temple in Fukui Prefecture, Japan, serving as one of the two principal training monasteries of the Sōtō school founded by the monk Dōgen.
-
D.
Saihat
Saihat is a coastal city in Saudi Arabia’s Eastern Province, known for its fishing heritage and proximity to major oil and industrial centers in the Gulf region.
-
E.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
- 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: Sai-ji Triple: [To-ji, pairedWith, Sai-ji]
Generated description
Sai-ji is a historic Buddhist temple in Kyoto, Japan, traditionally regarded as the western counterpart to the famous Tō-ji temple.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sai-ji Target entity description: Sai-ji is a historic Buddhist temple in Kyoto, Japan, traditionally regarded as the western counterpart to the famous Tō-ji temple.
-
A.
Saiun
Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
-
B.
Saibai
Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
-
C.
Eiheiji
Eiheiji is a major Zen Buddhist temple in Fukui Prefecture, Japan, serving as one of the two principal training monasteries of the Sōtō school founded by the monk Dōgen.
-
D.
Saihat
Saihat is a coastal city in Saudi Arabia’s Eastern Province, known for its fishing heritage and proximity to major oil and industrial centers in the Gulf region.
-
E.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bb4cec819091d9b7b2a09248ee |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00853af11881908e0e61fb352e2e87 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085f2fd2881908b31bd57790acb74 |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5:18 a.m.