Triple
T17449483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Carlos P. Garcia, Bohol |
E424874
|
entity |
| Predicate | hasNamingReason |
P7885
|
FINISHED |
| Object | to honor Carlos P. Garcia’s legacy |
—
|
LITERAL 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: to honor Carlos P. Garcia’s legacy | Statement: [Municipality of Carlos P. Garcia, Bohol, hasNamingReason, to honor Carlos P. Garcia’s legacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamingReason Context triple: [Municipality of Carlos P. Garcia, Bohol, hasNamingReason, to honor Carlos P. Garcia’s legacy]
-
A.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
-
B.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
-
C.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
D.
usesNameDueTo
Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
-
E.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
- F. None of above.
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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513b99908190a6b5833559856c8b |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.