Triple
T30202198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPFL |
E767810
|
entity |
| Predicate | enteredLiberiaFrom |
P87279
|
FINISHED |
| Object | Côte d’Ivoire |
—
|
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: Côte d’Ivoire | Statement: [NPFL, enteredLiberiaFrom, Côte d’Ivoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredLiberiaFrom Context triple: [NPFL, enteredLiberiaFrom, Côte d’Ivoire]
-
A.
enteredCountryVia
Indicates that an entity came into a country using a specific entry point, route, or method.
-
B.
enteredCountry
chosen
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
C.
regionInLiberia
Indicates that a region is geographically located within the country of Liberia.
-
D.
reentryCountry
Indicates the country into which an entity returns or reenters after being abroad or outside its territory.
-
E.
servesAsMainPortOfEntryFor
Indicates that one location functions as the primary gateway or access point through which another entity typically enters a region or system.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 7:31 p.m.