Triple
T6281305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aena |
E140786
|
entity |
| Predicate | isPartOfIndex |
P5722
|
FINISHED |
| Object | IBEX 35 |
E333199
|
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: IBEX 35 | Statement: [Aena, isPartOfIndex, IBEX 35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBEX 35 Context triple: [Aena, isPartOfIndex, IBEX 35]
-
A.
IBEX 35
chosen
IBEX 35 is Spain’s benchmark stock market index, comprising the 35 most liquid and highly capitalized companies traded on the Bolsa de Madrid.
-
B.
SDAX
SDAX is a German stock market index that tracks the performance of small-cap companies listed on the Frankfurt Stock Exchange.
-
C.
Euro Stoxx 50
The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
-
D.
Deutscher Aktienindex
Deutscher Aktienindex is Germany’s leading blue-chip stock market index, tracking the performance of the largest and most liquid companies listed on the Frankfurt Stock Exchange.
-
E.
Swiss Market Index
The Swiss Market Index is Switzerland’s leading stock market benchmark, comprising the largest and most liquid blue-chip companies traded on the SIX Swiss Exchange.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dee62881908347283f16dcbe68 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51962132881909a2eccd1203e03c1 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.