Triple
T16289629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Roxas Monument in Roxas City |
E395483
|
entity |
| Predicate | commemoratedPersonOccupation |
P122548
|
FINISHED |
| Object | politician |
—
|
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: politician | Statement: [Manuel Roxas Monument in Roxas City, commemoratedPersonOccupation, politician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratedPersonOccupation Context triple: [Manuel Roxas Monument in Roxas City, commemoratedPersonOccupation, politician]
-
A.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
-
B.
commemoratedPersonNationality
Indicates the nationality of the person who is being commemorated.
-
C.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
-
D.
eraCommemorated
Indicates that a particular era or historical period is honored, remembered, or marked by a commemorative act, object, or event.
-
E.
hasTypeOfPersonCommemorated
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.