Triple
T6508728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 93 |
E150074
|
entity |
| Predicate | BIECategory |
P38490
|
FINISHED |
| Object | Specialized Expo |
E271986
|
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: Specialized Expo | Statement: [Expo 93, BIECategory, Specialized Expo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Specialized Expo Context triple: [Expo 93, BIECategory, Specialized Expo]
-
A.
Specialised Expos
chosen
Specialised Expos are internationally sanctioned, theme-focused world exhibitions that are smaller and shorter in duration than Universal Expos and must adhere to rules set by the Bureau International des Expositions.
-
B.
Expo
Expo is an open-source platform and toolchain for building, deploying, and iterating on React Native applications.
-
C.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
D.
Reed Exhibitions
Reed Exhibitions is a global events and trade show organizer known for producing large-scale exhibitions and conferences across diverse industries worldwide.
-
E.
Helexpo
Helexpo is Greece’s national exhibition and conference organizer, best known for staging major trade fairs and events such as the Thessaloniki International Fair.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb5782fc8190a56b714bbc007490 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.