Triple

T8150740
Position Surface form Disambiguated ID Type / Status
Subject SSE Composite Index E190325 entity
Predicate dataVendorCode P508 FINISHED
Object 000001.SS
000001.SS is the ticker symbol used on financial data platforms to represent the SSE Composite Index, a major stock market index tracking all shares listed on the Shanghai Stock Exchange.
 E717469 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: 000001.SS | Statement: [SSE Composite Index, dataVendorCode, 000001.SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 000001.SS
Context triple: [SSE Composite Index, dataVendorCode, 000001.SS]
  • A. 000100
    000100 is the stock ticker symbol under which TCL Corporation, a major Chinese electronics and home appliance manufacturer, is publicly traded.
  • B. NO-01
    NO-01 is the ISO 3166-2 code assigned to Østfold, a former county in southeastern Norway.
  • C. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • D. S1
    S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
  • E. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • 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: 000001.SS
Triple: [SSE Composite Index, dataVendorCode, 000001.SS]
Generated description
000001.SS is the ticker symbol used on financial data platforms to represent the SSE Composite Index, a major stock market index tracking all shares listed on the Shanghai Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 000001.SS
Target entity description: 000001.SS is the ticker symbol used on financial data platforms to represent the SSE Composite Index, a major stock market index tracking all shares listed on the Shanghai Stock Exchange.
  • A. 000100
    000100 is the stock ticker symbol under which TCL Corporation, a major Chinese electronics and home appliance manufacturer, is publicly traded.
  • B. NO-01
    NO-01 is the ISO 3166-2 code assigned to Østfold, a former county in southeastern Norway.
  • C. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • D. S1
    S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
  • E. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4481f19c8190aeec9bf029ad321b completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbeef189081909f45b8d2aea74225 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc310b514819099228a1cc66517c5 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd8041c00819094094701ace21aa0 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.