Triple
T15582026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPCSD |
E374523
|
entity |
| Predicate | servesNearbyCommunities |
P119302
|
FINISHED |
| Object | nearby communities in California |
—
|
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: nearby communities in California | Statement: [MPCSD, servesNearbyCommunities, nearby communities in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesNearbyCommunities Context triple: [MPCSD, servesNearbyCommunities, nearby communities in California]
-
A.
servesCommunitiesAlong
Indicates that something provides services or support to the communities located along a particular route, corridor, or area.
-
B.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
C.
servedNearbyEstates
Indicates that an entity provided services or assistance to estates located in its immediate geographic vicinity.
-
D.
nearbyCityServed
Indicates that a city is geographically close enough to another city to be considered within its service or support area.
-
E.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.