Triple
T3643357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripoli International Airport |
E77239
|
entity |
| Predicate | servesCapital |
P3936
|
FINISHED |
| Object | capital city of Libya |
—
|
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: capital city of Libya | Statement: [Tripoli International Airport, servesCapital, capital city of Libya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCapital Context triple: [Tripoli International Airport, servesCapital, capital city of Libya]
-
A.
servesCapitalOfTerritory
Indicates that an entity functions as the capital city or administrative center for a specified territory.
-
B.
servesCapitalCityOf
Indicates that one entity functions as the capital city for another entity (typically a country, state, or region).
-
C.
capitalOfCountryServed
Indicates that a city serves as the capital of a given country.
-
D.
departmentCapitalOf
Indicates that a location serves as the administrative capital of a specified department (an administrative division).
-
E.
servedCity
chosen
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35acf2c81908f60168e93b773b1 |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.