Triple
T15310276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archer Daniels Midland |
E366016
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ADM
ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
|
E1150656
|
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: ADM | Statement: [Archer Daniels Midland, tickerSymbol, ADM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADM Context triple: [Archer Daniels Midland, tickerSymbol, ADM]
-
A.
ADM
ADM is a creative academic institution focused on education and research in the fields of art, design, and media.
-
B.
ADM
ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
-
C.
ADM(IM)
ADM(IM) is the abbreviated designation for the Assistant Deputy Minister responsible for information management within a governmental or organizational structure.
-
D.
ARAM
ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
-
E.
AAD
AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
- 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: ADM Triple: [Archer Daniels Midland, tickerSymbol, ADM]
Generated description
ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ADM Target entity description: ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
-
A.
ADM
ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
-
B.
ADM
ADM is a creative academic institution focused on education and research in the fields of art, design, and media.
-
C.
ADM(IM)
ADM(IM) is the abbreviated designation for the Assistant Deputy Minister responsible for information management within a governmental or organizational structure.
-
D.
ARAM
ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
-
E.
AAD
AAD is the currency abbreviation for the Arab Accounting Dinar, a unit of account used by the Arab Monetary Fund.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a20c1881909b387aed6f532c3d |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa339f988190b470e052c853e4f8 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefac48df08190ad58e9d455546a57 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.