Triple
T6505938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eldorado Resorts |
E150007
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ERI
ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
|
E600733
|
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: ERI | Statement: [Eldorado Resorts, tickerSymbol, ERI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERI Context triple: [Eldorado Resorts, tickerSymbol, ERI]
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
C.
ERCI
ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
-
D.
ERF
ERF is the stock ticker symbol used to represent Eurofins Scientific on financial markets.
-
E.
ERG
ERG is a faction of Conservative Party MPs in the United Kingdom known for its strong support of Brexit and advocacy for Eurosceptic policies.
- 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: ERI Triple: [Eldorado Resorts, tickerSymbol, ERI]
Generated description
ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERI Target entity description: ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
-
A.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
B.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
C.
ERCI
ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
-
D.
ERF
ERF is the stock ticker symbol used to represent Eurofins Scientific on financial markets.
-
E.
ERG
ERG is a faction of Conservative Party MPs in the United Kingdom known for its strong support of Brexit and advocacy for Eurosceptic policies.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69966ff708190902c88cb6b48e5d7 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb43db608190b785e77f6850bb6f |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cc96edd08190b0c0f1b49dd64160 |
completed | March 27, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd8d15ec8190be5a8c5e3f201139 |
completed | March 27, 2026, 6:33 p.m. |
Created at: March 27, 2026, 1:43 p.m.