Triple
T22675304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Oil Company of New Jersey |
E560328
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Enco
Enco was a gasoline and service station brand used by Standard Oil of New Jersey (later Exxon) in the mid-20th century United States.
|
E1548473
|
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: Enco | Statement: [Standard Oil Company of New Jersey, brand, Enco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enco Context triple: [Standard Oil Company of New Jersey, brand, Enco]
-
A.
Fezco
Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
-
B.
Bastico
Bastico is the surname of Ettore Bastico, an Italian military officer and Marshal of Italy during World War II.
-
C.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
D.
Bessa
Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
-
E.
Arcour
Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
- 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: Enco Triple: [Standard Oil Company of New Jersey, brand, Enco]
Generated description
Enco was a gasoline and service station brand used by Standard Oil of New Jersey (later Exxon) in the mid-20th century United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enco Target entity description: Enco was a gasoline and service station brand used by Standard Oil of New Jersey (later Exxon) in the mid-20th century United States.
-
A.
Fezco
Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
-
B.
Bastico
Bastico is the surname of Ettore Bastico, an Italian military officer and Marshal of Italy during World War II.
-
C.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
D.
Bessa
Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
-
E.
Arcour
Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17823bd1881908958b0a8ba59e199 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73ef30588190a40ad1bbc8d47832 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7486b4308190b3457074c45cec14 |
completed | May 18, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b74ebf8c08190bc3f2bd0b442ef9c |
completed | May 18, 2026, 8:22 p.m. |
Created at: April 17, 2026, 3:11 p.m.