Triple
T36575033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komo River |
E902221
|
entity |
| Predicate | countryCapitalNearMouth |
P33891
|
FINISHED |
| Object | Libreville |
E47980
|
NE 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: Libreville | Statement: [Komo River, countryCapitalNearMouth, Libreville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalNearMouth Context triple: [Komo River, countryCapitalNearMouth, Libreville]
-
A.
countryCapitalNearby
chosen
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
B.
nearestCapitalCity
Indicates that one city is the geographically closest capital city to a given location or entity compared to all other capital cities.
-
C.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
D.
countryCapitalLocatedWithin
Indicates that the capital city of a country is geographically situated within the boundaries of that country.
-
E.
countryCapitalGridServed
Indicates that the capital city of a country is supplied with electricity by a power grid.
- F. None of above.
Provenance (4 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c1724548190b753a32ba67e22b5 |
completed | June 26, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 3, 2026, 4:11 p.m.