Triple
T35902675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Si Chum |
E1038393
|
entity |
| Predicate | buddhaImageName |
P153872
|
FINISHED |
| Object |
Phra Achana
Phra Achana is a massive seated Buddha statue renowned as the principal image enshrined in the historic Wat Si Chum temple at Sukhothai, Thailand.
|
E2161590
|
NE FINISHED |
How this triple was built (3 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: Phra Achana | Statement: [Wat Si Chum, buddhaImageName, Phra Achana]
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: Phra Achana Triple: [Wat Si Chum, buddhaImageName, Phra Achana]
Generated description
Phra Achana is a massive seated Buddha statue renowned as the principal image enshrined in the historic Wat Si Chum temple at Sukhothai, Thailand.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhaImageName Context triple: [Wat Si Chum, buddhaImageName, Phra Achana]
-
A.
pilgrimageName
Indicates the specific name or title assigned to a particular pilgrimage.
-
B.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
C.
nameImage
chosen
Indicates that an image is assigned or associated with a specific name or label.
-
D.
associatedBuddha
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
-
E.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
- F. None of above.
Provenance (6 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa6b70948190a9f0b5f76c095d4e |
completed | May 3, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ae2762f08190806212276cd98fc6 |
completed | June 22, 2026, 3:38 a.m. |
| NEDg | Description generation | batch_6a38aed9c3608190be4d8a738722fc4f |
completed | June 22, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38afe3882c819094065a02436b8868 |
completed | June 22, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.