Triple
T15736083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 39: Enkōji |
E381473
|
entity |
| Predicate | hasAlternativeRomanization |
P5923
|
FINISHED |
| Object |
Enkoji
Enkoji is a Japanese Buddhist temple known for its serene gardens, seasonal foliage, and traditional architecture.
|
E1173516
|
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: Enkoji | Statement: [Temple 39: Enkōji, hasAlternativeRomanization, Enkoji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enkoji Context triple: [Temple 39: Enkōji, hasAlternativeRomanization, Enkoji]
-
A.
Eikandō
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
-
B.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
C.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
D.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
E.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
- 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: Enkoji Triple: [Temple 39: Enkōji, hasAlternativeRomanization, Enkoji]
Generated description
Enkoji is a Japanese Buddhist temple known for its serene gardens, seasonal foliage, and traditional architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enkoji Target entity description: Enkoji is a Japanese Buddhist temple known for its serene gardens, seasonal foliage, and traditional architecture.
-
A.
Eikandō
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
-
B.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
C.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
D.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
E.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd586a88190aa1b1b88368d386f |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8300a4248190ba52573b57f31b36 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff8378450081909614f68772a23851 |
completed | May 9, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff84125e808190a4d465d9effad639 |
completed | May 9, 2026, 6:59 p.m. |
Created at: April 10, 2026, 4:46 a.m.