Triple
T33116822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hairatan border crossing |
E847479
|
entity |
| Predicate | nearbyCountryCapitalConnectedIndirectlyTo |
P33891
|
FINISHED |
| Object | Kabul |
—
|
NE NERFINISHED |
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 | Statement: [Hairatan border crossing, nearbyCountryCapitalConnectedIndirectlyTo, Kabul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyCountryCapitalConnectedIndirectlyTo Context triple: [Hairatan border crossing, nearbyCountryCapitalConnectedIndirectlyTo, Kabul]
-
A.
governingCountryCapitalConnectedTo
Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
-
B.
regionCapitalConnected
Indicates that a capital city is directly connected (e.g., by transport or infrastructure) to its surrounding region.
-
C.
hasCountryCapitalConnection
Indicates a relationship in which a specific country is associated with its official capital city.
-
D.
countryCapitalNearby
chosen
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
E.
isNeighboringCityOf
Indicates that one city is geographically adjacent to or directly borders another 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 1, 2026, 1:27 a.m.