Triple
T14680400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swat River |
E344763
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Chakdara |
E1079213
|
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: Chakdara | Statement: [Swat River, passesNear, Chakdara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chakdara Context triple: [Swat River, passesNear, Chakdara]
-
A.
Chakdara
chosen
Chakdara is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a strategic gateway to the Swat Valley and an area rich in archaeological and historical significance.
-
B.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
C.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
D.
Chhachhrauli
Chhachhrauli is a town in the Yamunanagar district of Haryana, India, known historically as a former princely estate and regional administrative center.
-
E.
Chabua
Chabua is a town in Assam, India, historically known for its tea gardens and as the site of a World War II airbase used by Allied forces.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7e71d8819089912376346bbd9f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.