Triple
T29699396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act No. 175 of the Philippine Commission |
E751436
|
entity |
| Predicate | hasColonialCharacter |
P123765
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Act No. 175 of the Philippine Commission, hasColonialCharacter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonialCharacter Context triple: [Act No. 175 of the Philippine Commission, hasColonialCharacter, yes]
-
A.
isColonial
Indicates that one entity holds or exhibits colonial status, control, or characteristics in relation to another entity or context.
-
B.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
-
C.
hasColonialForm
chosen
Indicates that one entity possesses or exhibits a colonial form or structure in relation to another.
-
D.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
-
E.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
Created at: April 28, 2026, 7:22 p.m.