Triple
T20967429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thur |
E516403
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object | Necker |
—
|
NE NERFINISHED |
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: Necker | Statement: [Thur, hasLeftTributary, Necker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Necker Context triple: [Thur, hasLeftTributary, Necker]
-
A.
Necker
chosen
Necker is a French surname most famously associated with the influential 18th-century Swiss-born French statesman Jacques Necker and his daughter, the writer and intellectual Anne Louise Germaine de Staël.
-
B.
Le Rocher
Le Rocher is the rocky promontory that forms Monaco’s historic old town, home to landmarks such as the Prince’s Palace and the Monaco Cathedral.
-
C.
L’Epingle
L’Epingle is the tight, low-speed hairpin corner on Montreal’s Circuit Gilles-Villeneuve that is known for heavy braking, overtaking opportunities, and dramatic acceleration onto the following straight.
-
D.
Bonneveau
Bonneveau is a small commune in the Loir-et-Cher department of central France.
-
E.
Le Cap
Le Cap, historically known as Cap‑Français, was a major colonial port city in Saint-Domingue (now Cap-Haïtien, Haiti) and a key center of French Caribbean trade and administration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:37 p.m.