Triple
T14480034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naupactus |
E359076
|
entity |
| Predicate | oppositeCoast |
P44148
|
FINISHED |
| Object | northern Peloponnese |
—
|
LITERAL 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: northern Peloponnese | Statement: [Naupactus, oppositeCoast, northern Peloponnese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeCoast Context triple: [Naupactus, oppositeCoast, northern Peloponnese]
-
A.
oppositeShoreFrom
chosen
Indicates that two locations are situated on facing sides of the same body of water or shoreline, directly across from each other.
-
B.
oppositeContinent
Indicates that two entities are located on continents that are considered opposites of each other, typically in terms of global position or conceptual pairing.
-
C.
hasCoastOnOtherSide
Indicates that one geographic entity has a coastline located on the opposite side of another referenced geographic feature or boundary.
-
D.
oppositeCityCountry
Indicates that a city and a country are located on opposite sides of the world or in geographically opposing regions relative to each other.
-
E.
oppositeTownCountry
Indicates that two locations are situated in opposing or contrasting town and country settings, such that one is urban while the other is rural.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.