Triple
T5331718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orne |
E123324
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Manche |
E81934
|
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: Manche | Statement: [Orne, borders, Manche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manche Context triple: [Orne, borders, Manche]
-
A.
Manche
chosen
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
B.
Maahas
Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
D.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
-
E.
Maalla
Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21bebea0819083e6deae67f3e834 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 2 p.m.