Triple
T8706065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flood at Port-Marly |
E206652
|
entity |
| Predicate | locationOfCreation |
P1041
|
FINISHED |
| Object | Port-Marly |
E750600
|
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: Port-Marly | Statement: [Flood at Port-Marly, locationOfCreation, Port-Marly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port-Marly Context triple: [Flood at Port-Marly, locationOfCreation, Port-Marly]
-
A.
Port-Marly
chosen
Port-Marly is a small riverside commune in north-central France, known for its picturesque setting along the Seine and its association with Impressionist painters.
-
B.
Bonbon Beach
Bonbon Beach is a picturesque white-sand beach in Romblon, Philippines, known for its clear turquoise waters and a scenic sandbar that appears at low tide.
-
C.
Gonaïves
Gonaïves is a coastal city in western Haiti historically renowned as the birthplace of the nation’s independence and a center of political activity.
-
D.
Port-la-Nouvelle
Port-la-Nouvelle is a coastal commune and seaside resort in southern France known for its Mediterranean beaches and commercial port.
-
E.
Port-à-Piment
Port-à-Piment is a coastal commune in southwestern Haiti known for its fishing activities and proximity to notable natural features such as caves and beaches.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fcac748190a82b57aeb7c43df9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28aac77c8190b4f5968643715765 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:35 p.m.