Triple
T38466423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | monastic community of Lérins Abbey |
E912578
|
entity |
| Predicate | situatedInBodyOfWater |
P1714
|
FINISHED |
| Object | Mediterranean Sea |
—
|
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: Mediterranean Sea | Statement: [monastic community of Lérins Abbey, situatedInBodyOfWater, Mediterranean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedInBodyOfWater Context triple: [monastic community of Lérins Abbey, situatedInBodyOfWater, Mediterranean Sea]
-
A.
locatedInBodyOfWater
chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
-
B.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
C.
locatedInBodyOfWaterSharedBy
Indicates that an entity is situated within a body of water that is shared by another specified entity.
-
D.
connectedBodyOfWater
Indicates that two geographic locations are linked by a continuous body of water through which water can flow between them.
-
E.
landingBodyOfWater
Indicates that an entity (such as an aircraft or vessel) lands on or comes to rest upon a specified body of water.
- F. None of above.
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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.