Triple
T34105567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpongwe people |
E874696
|
entity |
| Predicate | portCityAssociation |
P2745
|
FINISHED |
| Object | Libreville |
—
|
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: Libreville | Statement: [Mpongwe people, portCityAssociation, Libreville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portCityAssociation Context triple: [Mpongwe people, portCityAssociation, Libreville]
-
A.
isPortOf
Indicates that one location or facility serves as a port or harbor for another place, entity, or transportation route.
-
B.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
-
C.
cityAssociatedWith
Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
-
D.
isPortOfCallFor
Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
-
E.
hasPortCity
chosen
Indicates that a place or region possesses or is associated with a city that functions as its port.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ca987dc81908adb7451a3e2c20f |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.