Triple
T3937790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua |
E90955
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object | HSB |
E379330
|
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: HSB | Statement: [Aqua, instrument, HSB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSB Context triple: [Aqua, instrument, HSB]
-
A.
HSB
HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
-
B.
HSB
chosen
HSB is a historic narrow-gauge railway network in Germany’s Harz mountains, popular for its steam-powered tourist trains and scenic routes.
-
C.
HUES
HUES is the commonly used acronym for the Graduate School of Human-Environment Studies, an academic institution focused on interdisciplinary research and education on the interactions between people and their environments.
-
D.
HSL 3
HSL 3 is a Belgian high-speed railway line that connects Liège to the German border as part of the international high-speed rail corridor between Brussels and Germany.
-
E.
HSL 4
HSL 4 is a Belgian high-speed railway line that connects Antwerp to the Dutch border as part of the international high-speed rail corridor between Brussels and Amsterdam.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528922a548190a8e5339deacaefd9 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:24 p.m.