Triple
T36586296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parola (Liloan lighthouse) |
E902528
|
entity |
| Predicate | CebuanoName |
P185900
|
FINISHED |
| Object | Parola sa Liloan |
—
|
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: Parola sa Liloan | Statement: [Parola (Liloan lighthouse), CebuanoName, Parola sa Liloan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CebuanoName Context triple: [Parola (Liloan lighthouse), CebuanoName, Parola sa Liloan]
-
A.
hasOfficialNameInFilipino
Indicates that an entity has an official or formally recognized name expressed in the Filipino language.
-
B.
hasNameInTagalog
Indicates that an entity has a specific name expressed in the Tagalog language.
-
C.
nameInPapiamento
Indicates that an entity’s name is expressed in the Papiamento language.
-
D.
hasNameInBalinese
Indicates that an entity is associated with a specific name expressed in the Balinese language.
-
E.
hasPalauanName
Indicates that an entity has a name expressed in the Palauan language.
- F. None of above. chosen
Provenance (4 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.