Triple
T19720783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal |
E473601
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Jalajala |
—
|
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: Jalajala | Statement: [Rizal, hasMunicipality, Jalajala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalajala Context triple: [Rizal, hasMunicipality, Jalajala]
-
A.
Jalajala
chosen
Jalajala is a rural lakeside municipality in the province of Rizal, Philippines, situated along the shores of Laguna de Bay.
-
B.
Jiloca
Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
-
C.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
D.
Lala
Lala is a small town in the Hailakandi district of the Indian state of Assam.
-
E.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.