Triple
T5934280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldline |
E132005
|
entity |
| Predicate | memberOfIndex |
P5158
|
FINISHED |
| Object | CAC 40 ESG |
E23686
|
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: CAC 40 ESG | Statement: [Worldline, memberOfIndex, CAC 40 ESG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAC 40 ESG Context triple: [Worldline, memberOfIndex, CAC 40 ESG]
-
A.
CAC 40
chosen
CAC 40 is the benchmark French stock market index, tracking 40 major companies listed on the Euronext Paris exchange.
-
B.
DAX 50 ESG
DAX 50 ESG is a German stock market index that tracks the performance of 50 large, liquid companies from the DAX universe selected based on environmental, social, and governance (ESG) criteria.
-
C.
S&P ESG indices
S&P ESG indices are a family of stock market benchmarks that track companies meeting specific environmental, social, and governance criteria while maintaining broad market-like risk and return characteristics.
-
D.
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.
-
E.
CDP
CDP is a global non-profit organization that runs a disclosure system for companies, cities, states, and regions to manage and report their environmental impacts, particularly related to climate change, water security, and deforestation.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.