Triple
T15832009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gros Caillou |
E383892
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Gros Caillou |
E383892
|
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: Gros Caillou | Statement: [Gros Caillou, hasNameInFrench, Gros Caillou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gros Caillou Context triple: [Gros Caillou, hasNameInFrench, Gros Caillou]
-
A.
Gros Caillou
chosen
Gros Caillou is a famous large glacial erratic stone and emblematic monument of Lyon, France, symbolizing the La Croix-Rousse district.
-
B.
Gros-Caillou
Gros-Caillou is a residential and historically bourgeois neighborhood in Paris’s 7th arrondissement, situated near landmarks like the Eiffel Tower and the Champ de Mars.
-
C.
Roche-à-Bateau
Roche-à-Bateau is a coastal commune in southern Haiti known for its fishing, agriculture, and vulnerability to hurricanes.
-
D.
La Joute
La Joute is a monumental outdoor bronze fountain-sculpture by Canadian artist Jean-Paul Riopelle, renowned for its dramatic ring of fire and kinetic water features.
-
E.
Mont Dauban
Mont Dauban is the tallest mountain on Silhouette Island in the Seychelles, known for its lush tropical forests and panoramic views over the Indian Ocean.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6433ac8190a3d3e0d573673ea3 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.