Triple
T4139073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazara |
E89227
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Battagram |
E271511
|
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: Battagram | Statement: [Hazara, hasTown, Battagram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battagram Context triple: [Hazara, hasTown, Battagram]
-
A.
Battagram
chosen
Battagram is a town and district headquarters in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and location along the Karakoram Highway.
-
B.
Stryama
Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
-
C.
Negaraku
Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
-
D.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
E.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02485a788190ba6ee769e663b2d3 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c9f8a081908c2910ac475e4974 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.