Triple
T20582540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabaa |
E505695
|
entity |
| Predicate | governorateCapitalProximity |
P140651
|
FINISHED |
| Object | near Marsa Matrouh |
—
|
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: near Marsa Matrouh | Statement: [Dabaa, governorateCapitalProximity, near Marsa Matrouh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorateCapitalProximity Context triple: [Dabaa, governorateCapitalProximity, near Marsa Matrouh]
-
A.
stateCapitalProximity
Indicates the spatial closeness or distance between a state’s capital city and another specified location.
-
B.
hasCountyCapitalDistance
Indicates a distance relationship specifying how far a county is from its capital.
-
C.
governorateCapitalAlsoCapitalOf
Indicates that a city serving as the capital of a governorate is also the capital of another administrative unit or jurisdiction.
-
D.
countyCapitalNearby
Indicates that a county’s capital city is located close to a specified place or entity.
-
E.
adjacentToProvinceCapital
Indicates that a location is directly next to or bordering the capital city of a province.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90f7e34819086b1745dcd53ba25 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.