Triple
T33887027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogador Island |
E868656
|
entity |
| Predicate | closestPort |
P67182
|
FINISHED |
| Object | Port of Essaouira |
—
|
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: Port of Essaouira | Statement: [Mogador Island, closestPort, Port of Essaouira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestPort Context triple: [Mogador Island, closestPort, Port of Essaouira]
-
A.
nearestMajorPort
Indicates the closest significant seaport to a given location or entity, typically based on geographic distance.
-
B.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
-
C.
closestTo
chosen
Indicates that one entity is nearer in distance to a reference entity than any other comparable entity.
-
D.
nearestPointTo
Indicates the point that is closest in distance to a given reference point or object among a set of candidates.
-
E.
nearbyCityOrPort
Indicates that one location is geographically close to a city or port, typically within a short travel distance.
- 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 1:48 a.m.