Triple
T22248653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulga |
E549912
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Kalga |
—
|
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: Kalga | Statement: [Pulga, hasNearbyVillage, Kalga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalga Context triple: [Pulga, hasNearbyVillage, Kalga]
-
A.
Kalga
chosen
Kalga is a small, scenic Himalayan village in India’s Himachal Pradesh, popular with trekkers and backpackers for its tranquil atmosphere and mountain views.
-
B.
Askari
Askari is a masculine given name of Persian and Arabic origin, historically borne by several notable figures in South and Central Asia.
-
C.
That Khe
That Khe is a small town in northern Vietnam near the Chinese border, historically notable as a strategic point during the First Indochina War.
-
D.
Warhad
Warhad is an old regional name historically used for the area later known as Berar in central India.
-
E.
Guardia de Asalto
The Guardia de Asalto was a Spanish Republican-era urban police and paramilitary force known for its role in maintaining public order and later fighting on the Republican side during the Spanish Civil War.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:38 p.m.