Triple
T16456242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dieze |
E399687
|
entity |
| Predicate | hasMouth |
P1008
|
FINISHED |
| Object | Aa |
E130655
|
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: Aa | Statement: [Dieze, hasMouth, Aa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aa Context triple: [Dieze, hasMouth, Aa]
-
A.
Aa
chosen
The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
-
B.
AA
AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
-
C.
AA
AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
-
D.
AA
AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
-
E.
AA
AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7d3bf4819092d5bff6de0859e8 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5015a881908447b64b699feb1a |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.