Triple
T12749487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Khün |
E304691
|
entity |
| Predicate | traditionalReligionInstitution |
P2154
|
FINISHED |
| Object |
wat
Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
|
E999421
|
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: wat | Statement: [Tai Khün, traditionalReligionInstitution, wat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wat Context triple: [Tai Khün, traditionalReligionInstitution, wat]
-
A.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
B.
WAT
WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
-
C.
WAT
WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
-
D.
wal
"wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
-
E.
Water
"Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
- 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: wat Triple: [Tai Khün, traditionalReligionInstitution, wat]
Generated description
Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: wat Target entity description: Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
-
A.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
B.
WAT
WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
-
C.
WAT
WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
-
D.
wal
"wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
-
E.
Water
Water is a fundamental chemical substance (H₂O) essential for life, known for its roles in biological processes, climate regulation, and human civilization.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e12b8148190958b63ba114d6221 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:27 p.m.