Triple
T2424503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran–Pakistan border |
E53493
|
entity |
| Predicate | hasBorderCrossing |
P4105
|
FINISHED |
| Object | Taftan |
E162739
|
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: Taftan | Statement: [Iran–Pakistan border, hasBorderCrossing, Taftan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taftan Context triple: [Iran–Pakistan border, hasBorderCrossing, Taftan]
-
A.
Taftan
chosen
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
-
B.
Moynaq
Moynaq is a former fishing town in western Uzbekistan that became infamous as a symbol of environmental disaster after the Aral Sea largely dried up, leaving the settlement stranded far from the receding shoreline.
-
C.
Yaghnobi
Yaghnobi is an Eastern Iranian language spoken by the Yaghnobi people of Tajikistan, considered a direct descendant of ancient Sogdian.
-
D.
Qataban
Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
-
E.
Rutba
Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc973aee08190b543492f436f3fe5 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0a5fc208190a2479de4b1344759 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:42 p.m.