Triple
T8162892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSE 50 Index |
E190617
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SSE 50 |
E190617
|
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: SSE 50 | Statement: [SSE 50 Index, abbreviation, SSE 50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSE 50 Context triple: [SSE 50 Index, abbreviation, SSE 50]
-
A.
SSE 50 Index
chosen
The SSE 50 Index is a blue-chip stock market index that tracks the performance of 50 of the largest and most liquid companies listed on the Shanghai Stock Exchange.
-
B.
SSE STAR 50 Index
The SSE STAR 50 Index is a benchmark stock market index tracking 50 leading technology and innovation-focused companies listed on Shanghai’s STAR Market.
-
C.
SSE 180 Index
The SSE 180 Index is a major stock market index that tracks the performance of 180 large, representative companies listed on the Shanghai Stock Exchange.
-
D.
SSE 380 Index
The SSE 380 Index is a Chinese stock market index that tracks the performance of 380 mid-cap companies listed on the Shanghai Stock Exchange.
-
E.
SSE Composite Index
The SSE Composite Index is a major Chinese stock market index that tracks the performance of all stocks listed on the Shanghai Stock 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4557ebc88190b4e2cab258374d23 |
completed | March 31, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf35000c8190ba78f69b7b1290e8 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.