Triple
T8091589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A62 motorway |
E188876
|
entity |
| Predicate | maintainedBy |
P86
|
FINISHED |
| Object | ASF |
E244510
|
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: ASF | Statement: [A62 motorway, maintainedBy, ASF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASF Context triple: [A62 motorway, maintainedBy, ASF]
-
A.
ASF
chosen
ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
-
B.
ASF
ASF is the acronym for the African Standby Force, a continental, multidisciplinary peacekeeping and rapid-deployment force established by the African Union to respond to conflicts and crises in Africa.
-
C.
ASF
ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
-
D.
ASF
ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
-
E.
ASF
ASF (Advanced Systems Format) is a Microsoft-developed digital audio/video container format designed primarily for streaming media over networks.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640dbab881908a8142ac472f3408 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:30 p.m.