Triple
T5842330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FWB |
E129621
|
entity |
| Predicate | hasMIC |
P20242
|
FINISHED |
| Object | XFRA |
E549687
|
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: XFRA | Statement: [FWB, hasMIC, XFRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XFRA Context triple: [FWB, hasMIC, XFRA]
-
A.
XFRA
chosen
XFRA is the market identifier code for the Frankfurt Stock Exchange, one of Europe’s largest and most important securities trading venues.
-
B.
FRAS
FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
-
C.
FRAD
FRAD (Functional Requirements for Authority Data) is an IFLA conceptual model that defines how authority data about names, titles, and subjects should be structured and related to support library cataloging and information retrieval.
-
D.
FSW
FSW is the Faculty of Social and Behavioural Sciences at Leiden University, encompassing disciplines such as psychology, political science, cultural anthropology, and education.
-
E.
FLAR
FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d876fc819089818c731116af56 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0fb0f68819091018926ee4c7bb8 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.