Triple
T16326812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Oil of Ohio |
E396440
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
SOH
SOH was the stock ticker symbol for Standard Oil of Ohio, a major regional U.S. oil company that played a significant role in the petroleum industry before being acquired by BP.
|
E1207351
|
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: SOH | Statement: [Standard Oil of Ohio, tickerSymbol, SOH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOH Context triple: [Standard Oil of Ohio, tickerSymbol, SOH]
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
C.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
D.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
E.
SO
SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
- 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: SOH Triple: [Standard Oil of Ohio, tickerSymbol, SOH]
Generated description
SOH was the stock ticker symbol for Standard Oil of Ohio, a major regional U.S. oil company that played a significant role in the petroleum industry before being acquired by BP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOH Target entity description: SOH was the stock ticker symbol for Standard Oil of Ohio, a major regional U.S. oil company that played a significant role in the petroleum industry before being acquired by BP.
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
C.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
D.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
E.
SO
SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260f487c81909e3e54e47c11b83a |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027f09b588190b71d550d2a14868d |
completed | May 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002899c8888190be247f5db60552e0 |
completed | May 10, 2026, 6:41 a.m. |
Created at: April 10, 2026, 5:07 a.m.