Triple
T14140774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviva Centre |
E350418
|
entity |
| Predicate | associatedOrganization |
P37
|
FINISHED |
| Object | ATP |
E787588
|
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: [Aviva Centre, associatedOrganization, ATP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATP Context triple: [Aviva Centre, associatedOrganization, 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.
ATP
chosen
ATP (Association of Tennis Professionals) is the principal governing body of men's professional tennis, overseeing the ATP Tour and its major tournaments worldwide.
-
C.
ATP
ATP is the standard abbreviation for NATO Allied Tactical Publications, a series of documents that codify common tactical procedures and doctrines for NATO forces.
-
D.
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.
-
E.
ATN
ATN is the fictional conservative cable news network owned by media mogul Logan Roy in the television series "Succession."
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf18e3d08190b287e2da192d05eb |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:47 a.m.