Triple
T8317389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Open |
E194739
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ATP |
E623621
|
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: ATP | Statement: [Hall of Fame Open, abbreviation, ATP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATP Context triple: [Hall of Fame Open, abbreviation, ATP]
-
A.
ATP
ATP is a train protection system that automatically supervises and controls train speed and braking to prevent collisions and signal overruns.
-
B.
ATN
ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
-
C.
Tournefeuille
Tournefeuille is a suburban town in southwestern France, located near Toulouse in the Occitanie region.
-
D.
AMPTP
AMPTP is the trade association that represents major film and television studios and streamers in labor negotiations with entertainment industry unions and guilds.
-
E.
ATP Rankings
chosen
ATP Rankings are the official weekly standings that determine the world’s top male professional tennis players based on their performance in sanctioned tournaments.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd958cf0808190af59e36c35b91e58 |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:55 p.m.