Triple
T4135646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experian |
E85147
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
EXPN
EXPN is the stock ticker symbol for Experian plc, a global information services company specializing in credit reporting and data analytics.
|
E414397
|
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: EXPN | Statement: [Experian, tickerSymbol, EXPN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EXPN Context triple: [Experian, tickerSymbol, EXPN]
-
A.
EXPE
EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
-
B.
Expa
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
C.
EXD
EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
-
D.
EGXP
EGXP is the ICAO airport code for RAF Scampton, a former Royal Air Force station in Lincolnshire, England, historically associated with the Dambusters and later the Red Arrows.
-
E.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
- 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: EXPN Triple: [Experian, tickerSymbol, EXPN]
Generated description
EXPN is the stock ticker symbol for Experian plc, a global information services company specializing in credit reporting and data analytics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EXPN Target entity description: EXPN is the stock ticker symbol for Experian plc, a global information services company specializing in credit reporting and data analytics.
-
A.
EXPE
EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
-
B.
Expa
Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
-
C.
EXD
EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
-
D.
EGXP
EGXP is the ICAO airport code for RAF Scampton, a former Royal Air Force station in Lincolnshire, England, historically associated with the Dambusters and later the Red Arrows.
-
E.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0233009881909333375d597b58b6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b57799f22481908cfda7e620a77187 |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b578003dd48190b9264fd834cffbdf |
completed | March 14, 2026, 3 p.m. |
Created at: March 9, 2026, 3:43 p.m.