Triple
T11852240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen, North Cotabato |
E281935
|
entity |
| Predicate | isInSoutheastAsia |
P101859
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Carmen, North Cotabato, isInSoutheastAsia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSoutheastAsia Context triple: [Carmen, North Cotabato, isInSoutheastAsia, true]
-
A.
seaToSoutheast
Indicates that one entity is located to the southeast of a sea relative to another reference point or region.
-
B.
locatedInIslandNation
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
-
C.
isOneOfIndonesiaTimeZones
Indicates that the entity operates within, or is assigned to, one of the officially recognized time zones used in Indonesia.
-
D.
liesSoutheastOf
Indicates that one entity is located to the southeast of another, combining both a southern and eastern directional relationship.
-
E.
roleInASEAN
Indicates the specific capacity, position, or function an entity holds within the organizational structure or activities of ASEAN.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.