Triple
T34538876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sampaloc Church |
E886745
|
entity |
| Predicate | associatedVicinity |
P19735
|
FINISHED |
| Object | Sampaloc neighborhood |
—
|
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: Sampaloc neighborhood | Statement: [Sampaloc Church, associatedVicinity, Sampaloc neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedVicinity Context triple: [Sampaloc Church, associatedVicinity, Sampaloc neighborhood]
-
A.
associatedWithLocality
chosen
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
B.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
C.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
D.
positionAssociatedWith
Indicates a relationship where a specific role, job, or position is linked or connected to a particular entity, context, or resource.
-
E.
nearbyTo
Indicates that one entity is located close in distance or position to another 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:02 a.m.