Triple
T12442987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghanistan and Pakistan |
E297321
|
entity |
| Predicate | hasBorderCrossing |
P4105
|
FINISHED |
| Object | Chaman |
E160472
|
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: Chaman | Statement: [Afghanistan and Pakistan, hasBorderCrossing, Chaman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaman Context triple: [Afghanistan and Pakistan, hasBorderCrossing, Chaman]
-
A.
Chaman
chosen
Chaman is a Pakistani border town in Balochistan that serves as a major transit point for trade and travel between Pakistan and Afghanistan.
-
B.
Mirzam
Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
-
C.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
D.
Chaghcharan
Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
-
E.
Dhaman
Dhaman is a regional Arab multilateral institution that promotes and guarantees investment and trade in Arab countries by providing political and commercial risk insurance and related services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f10926881909ffc641f8d19f93a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.