Triple
T19031703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Union |
E465754
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Sudipen |
E953887
|
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: Sudipen | Statement: [La Union, hasMunicipality, Sudipen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudipen Context triple: [La Union, hasMunicipality, Sudipen]
-
A.
Sudipen
chosen
Sudipen is a municipality in the province of La Union in the Philippines, known for its rural landscapes and location in the Ilocos Region of Luzon.
-
B.
Parthibo
Parthibo is a Bengali literary work by acclaimed author Shirshendu Mukhopadhyay, known for its distinctive storytelling and exploration of human relationships.
-
C.
Pradip
Pradip is a masculine given name commonly used in India and among people of Indian origin.
-
D.
Prasun
Prasun is an indigenous ethnic group from the Nuristan region of Afghanistan, known for its distinct culture and language within the Indo-Iranian family.
-
E.
Prasun
Prasun is a given name used in South Asian contexts, often associated with Indian or Nepali origins.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be59f0088190ae133c2d12beb2c0 |
completed | May 14, 2026, 12:21 p.m. |
Created at: April 10, 2026, 12:02 p.m.