Triple
T215757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Oréal |
E4816
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | CAC 40 |
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 | Statement: [L'Oréal, memberOf, CAC 40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAC 40 Context triple: [L'Oréal, memberOf, CAC 40]
-
A.
CAC 40
chosen
CAC 40 is the benchmark French stock market index, tracking 40 major companies listed on the Euronext Paris exchange.
-
B.
FTSE 100
The FTSE 100 is the leading stock market index of the largest companies listed on the London Stock Exchange, widely used as a benchmark for the UK equity market.
-
C.
Euronext
Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
-
D.
NASDAQ-100 Index
The NASDAQ-100 Index is a stock market index comprising 100 of the largest non-financial companies listed on the Nasdaq Stock Market, heavily weighted toward the technology sector.
-
E.
S&P 500 Index
The S&P 500 Index is a major U.S. stock market benchmark that tracks the performance of 500 large publicly traded companies listed on American exchanges.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4ca0c8819093f63c6371e2d140 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.