Triple
T1731465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euro Stoxx 50 |
E37818
|
entity |
| Predicate | dataVendorCode |
P508
|
FINISHED |
| Object |
SX5E
SX5E is the ticker symbol for the Euro Stoxx 50, a leading stock index representing 50 major blue-chip companies from countries in the eurozone.
|
E195031
|
NE FINISHED |
How this triple was built (4 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: SX5E | Statement: [Euro Stoxx 50, dataVendorCode, SX5E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SX5E Context triple: [Euro Stoxx 50, dataVendorCode, SX5E]
-
A.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
-
B.
S59
S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
-
C.
TX-05
TX-05 is the standard abbreviated designation for Texas's 5th congressional district in the United States House of Representatives.
-
D.
S85
S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
-
E.
SA5
SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SX5E Triple: [Euro Stoxx 50, dataVendorCode, SX5E]
Generated description
SX5E is the ticker symbol for the Euro Stoxx 50, a leading stock index representing 50 major blue-chip companies from countries in the eurozone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SX5E Target entity description: SX5E is the ticker symbol for the Euro Stoxx 50, a leading stock index representing 50 major blue-chip companies from countries in the eurozone.
-
A.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
-
B.
S59
S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
-
C.
TX-05
TX-05 is the standard abbreviated designation for Texas's 5th congressional district in the United States House of Representatives.
-
D.
S85
S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
-
E.
SA5
SA5 is the 3GPP Service and System Aspects working group responsible for management, orchestration, and operations of mobile communication networks.
- F. None of above. chosen
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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63804cd48190aef5e0f231600e58 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af9c15c8190818a891f5eae6569 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957ce41881909f1e214ebf4b08a4 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b479bc81908b5f75b5df41f577 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.