Triple
T13456468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Türkmenabat–Farap route |
E311246
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Farap |
E1033057
|
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: Farap | Statement: [Türkmenabat–Farap route, nearbySettlement, Farap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farap Context triple: [Türkmenabat–Farap route, nearbySettlement, Farap]
-
A.
Farap
chosen
Farap is a town in eastern Turkmenistan that serves as an important border crossing and transport hub between Turkmenistan and Uzbekistan.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
D.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
-
E.
Faltine
Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.