Triple
T12896177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabul–Mazar-i-Sharif road |
E308498
|
entity |
| Predicate | connectsCapitalToRegion |
P72379
|
FINISHED |
| Object | Kabul to northern Afghanistan |
—
|
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: Kabul to northern Afghanistan | Statement: [Kabul–Mazar-i-Sharif road, connectsCapitalToRegion, Kabul to northern Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCapitalToRegion Context triple: [Kabul–Mazar-i-Sharif road, connectsCapitalToRegion, Kabul to northern Afghanistan]
-
A.
connectsCapitalWithRegion
chosen
Indicates a relationship where a capital city is linked or associated with the larger region it belongs to.
-
B.
countryCapitalRegion
Indicates that a specified region is the capital region (administrative capital area) of a given country.
-
C.
connectsCapitalOf
Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
-
D.
connectsRegions
Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
-
E.
hitCapitalRegion
Indicates that an action, event, or impact has struck or affected the capital region of a specified area or jurisdiction.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.