Triple
T36635801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stock Exchange of Thailand |
E904459
|
entity |
| Predicate | hasIndex |
P2915
|
FINISHED |
| Object |
SETESG Index
SETESG Index is a sustainability-focused stock market index of the Stock Exchange of Thailand that tracks Thai companies meeting specified environmental, social, and governance (ESG) criteria.
|
E2192676
|
NE FINISHED |
How this triple was built (2 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: SETESG Index | Statement: [Stock Exchange of Thailand, hasIndex, SETESG Index]
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: SETESG Index Triple: [Stock Exchange of Thailand, hasIndex, SETESG Index]
Generated description
SETESG Index is a sustainability-focused stock market index of the Stock Exchange of Thailand that tracks Thai companies meeting specified environmental, social, and governance (ESG) criteria.
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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c4d664588190a432585ca34a46ba |
completed | May 3, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a096db9648190bb83696ef9334529 |
completed | June 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_6a3a120ec66881909cb524c43b7029ca |
completed | June 23, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a12a7a8508190a48503191bc3f696 |
completed | June 23, 2026, 4:59 a.m. |
Created at: May 3, 2026, 4:11 p.m.