Triple
T13780734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARD |
E331124
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ARD |
E331124
|
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: ARD | Statement: [ARD, shortName, ARD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARD Context triple: [ARD, shortName, ARD]
-
A.
ARD
chosen
ARD is Germany’s main public broadcasting consortium, operating a network of regional broadcasters that together provide national radio, television, and online services.
-
B.
ADE
ADE is Apple's Automated Device Enrollment program that streamlines the setup and management of Apple devices in organizations through centralized, zero‑touch deployment.
-
C.
ARE
ARE is the station code for Arendal Station, a railway station in the town of Arendal in Agder county, Norway.
-
D.
ARE
ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
-
E.
ARE
ARE is the ICAO airline designator assigned to LATAM Airlines Colombia, a major Colombian carrier within the LATAM Airlines Group.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b079013881908e9f5412e5dfb0b2 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.