Triple
T6581596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P-branded indices |
E157307
|
entity |
| Predicate | includesIndex |
P5722
|
FINISHED |
| Object | S&P Latin America 40 |
E159870
|
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: S&P Latin America 40 | Statement: [S&P-branded indices, includesIndex, S&P Latin America 40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S&P Latin America 40 Context triple: [S&P-branded indices, includesIndex, S&P Latin America 40]
-
A.
S&P Latin America 40
chosen
S&P Latin America 40 is a stock market index that tracks the performance of 40 leading large-cap companies from major Latin American markets.
-
B.
Santiago Stock Exchange
The Santiago Stock Exchange is Chile’s primary securities market and one of the largest and most important stock exchanges in Latin America.
-
C.
S&P Europe 350
S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
-
D.
MSCI Chile Index
The MSCI Chile Index is a stock market index designed to measure the performance of the large- and mid-cap segments of the Chilean equity market for international investors.
-
E.
S&P Asia 50
S&P Asia 50 is a stock market index that tracks the performance of 50 leading blue-chip companies from major Asian markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae90c1b081908f851bff1dd19855 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.