Triple
T19898777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Lal-lo |
E986698
|
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: Lal-lo | Statement: [Cagayan Province, hasMunicipality, Lal-lo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lal-lo Context triple: [Cagayan Province, hasMunicipality, Lal-lo]
-
A.
Lal-lo
chosen
Lal-lo is a historic municipality in the province of Cagayan in the Philippines, once serving as a colonial-era capital and important settlement during Spanish rule.
-
B.
Lalolara
Lalolara are a subgroup of the Tolaki people, an indigenous ethnic community of Southeast Sulawesi, Indonesia, with their own distinct cultural and social traditions.
-
C.
Lalan
Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
-
D.
Lal
Lal is a fictional android character in the Star Trek universe, created by the android Data as his experimental offspring to explore the concept of family and human development.
-
E.
Lal
Lal is the given name of L. K. Advani, a prominent Indian politician and co-founder of the Bharatiya Janata Party (BJP).
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea42b8c88190922819539e4b640b |
completed | May 16, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:52 p.m.