Triple
T5167581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NDR |
E116595
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | HDR |
E220054
|
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: HDR | Statement: [NDR, predecessor, HDR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDR Context triple: [NDR, predecessor, HDR]
-
A.
HDR
chosen
HDR is the commonly used abbreviation for the United Nations Development Programme’s annual Human Development Report, which assesses global progress in human development beyond economic growth alone.
-
B.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
C.
HD
HD is the vehicle registration code used for the German city of Heidelberg.
-
D.
HDR10
HDR10 is an open high-dynamic-range video standard that uses static metadata to deliver enhanced brightness, contrast, and color compared to standard dynamic range content.
-
E.
HDR200
HDR200 is a high-speed InfiniBand interconnect generation that delivers up to 200 Gbit/s bandwidth per port for data center and high-performance computing networks.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794b87508190be3b82726ef4b37c |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93b85188190927d448e09a46425 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.