Triple
T15287080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parvati Valley |
E365428
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Pulga |
E549912
|
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: Pulga | Statement: [Parvati Valley, hasVillage, Pulga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulga Context triple: [Parvati Valley, hasVillage, Pulga]
-
A.
Pulga
chosen
Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
-
B.
Formiga
Formiga is a legendary Brazilian midfielder renowned for her record-breaking longevity and multiple FIFA Women's World Cup and Olympic appearances with Brazil's women's national football team.
-
C.
Lagarteiru
Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
-
D.
Grillo
Grillo is an Italian surname most notably associated with American actor Frank Grillo, known for his roles in action and thriller films.
-
E.
Gusu
Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.