Triple
T11288263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapúa University Intramuros campus |
E267253
|
entity |
| Predicate | hasSurroundingLandmarkType |
P13155
|
FINISHED |
| Object | Spanish colonial-era structures |
—
|
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: Spanish colonial-era structures | Statement: [Mapúa University Intramuros campus, hasSurroundingLandmarkType, Spanish colonial-era structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingLandmarkType Context triple: [Mapúa University Intramuros campus, hasSurroundingLandmarkType, Spanish colonial-era structures]
-
A.
hasNearbyLandscapeType
Indicates that one entity is located close to, or in the vicinity of, a particular type of landscape.
-
B.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
C.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
-
D.
hasSurroundings
chosen
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
E.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.