Triple
T12232697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DUSP |
E291512
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DUSP |
E291512
|
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: DUSP | Statement: [DUSP, abbreviation, DUSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DUSP Context triple: [DUSP, abbreviation, DUSP]
-
A.
DUSP
chosen
DUSP is the Massachusetts Institute of Technology’s Department of Urban Studies and Planning, a leading academic center for research and education in urban planning, policy, and design.
-
B.
DUS
DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
-
C.
Dus
"Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
-
D.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
-
E.
USP
USP is an interdisciplinary honors program at the National University of Singapore designed for academically talented undergraduates seeking a broad-based, rigorous education.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aaf7b348190865a6a1b6de51753 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.