Triple
T521753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garonne |
E10830
|
entity |
| Predicate | cityOnRiver |
P165
|
FINISHED |
| Object | Langon |
E65928
|
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: Langon | Statement: [Garonne, cityOnRiver, Langon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langon Context triple: [Garonne, cityOnRiver, Langon]
-
A.
Langon
chosen
Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
-
B.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
C.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
D.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
E.
Cholon
Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8abbfbc819086148dc95b807e06 |
completed | March 1, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.