Triple
T19613586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran–Turkmenistan border |
E470797
|
entity |
| Predicate | borderCity_Turkmenistan |
P136470
|
FINISHED |
| Object | Etrek |
—
|
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: Etrek | Statement: [Iran–Turkmenistan border, borderCity_Turkmenistan, Etrek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etrek Context triple: [Iran–Turkmenistan border, borderCity_Turkmenistan, Etrek]
-
A.
Etrek
chosen
Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
-
B.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
-
C.
Tomei
Tomei is the surname of American actress Marisa Tomei, known for her Academy Award–winning performance in "My Cousin Vinny" and numerous film and television roles.
-
D.
Trans-Ekulu
Trans-Ekulu is a major residential suburb and gateway district in Enugu, Nigeria, known for its strategic location along the Enugu–Onitsha Expressway.
-
E.
Tecka
Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cd5de48190a9f7bab4da3f5b5a |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.