Triple
T7113413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altria Group |
E165757
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object | MO |
E463440
|
NE FINISHED |
How this triple was built (2 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: MO | Statement: [Altria Group, stockTicker, MO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MO Context triple: [Altria Group, stockTicker, MO]
-
A.
MO
MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
-
B.
MO
chosen
MO is the U.S. Postal Service abbreviation for the state of Missouri.
-
C.
MN
MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
-
D.
California, Missouri
California, Missouri is a small city in Moniteau County known for its rural Midwestern character and role as a local hub in central Missouri.
-
E.
MA
MA is the vehicle registration code used on license plates for the German city of Mannheim.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbc35d48190974e207eb98dcbe3 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.