Triple
T297068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Assal |
E6115
|
entity |
| Predicate | distanceFromCapital |
P10889
|
FINISHED |
| Object | about 120 km west of Djibouti City |
—
|
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: about 120 km west of Djibouti City | Statement: [Lake Assal, distanceFromCapital, about 120 km west of Djibouti City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCapital Context triple: [Lake Assal, distanceFromCapital, about 120 km west of Djibouti City]
-
A.
timeInCapital
Indicates that a specified amount of time is spent or occurs within the capital city of a given political or administrative entity.
-
B.
locatedInCapital
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
-
C.
regionalOrganizationCapital
Indicates that a city serves as the capital or administrative center of a specified regional organization.
-
D.
capitalCityOfCountry
Indicates that a city serves as the official capital of a specified country.
-
E.
countryClosestTo
Indicates the relationship where one country is geographically nearer to a given reference point or entity than any other country.
- F. None of above. chosen
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e937af888190a0960708f09ae033 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea4545608190898436c72e10f39d |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.