Triple
T13752888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMCS Harry DeWolf |
E330397
|
entity |
| Predicate | hasMissionBay |
P110837
|
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: [HMCS Harry DeWolf, hasMissionBay, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMissionBay Context triple: [HMCS Harry DeWolf, hasMissionBay, yes]
-
A.
missionBay
Indicates a relationship where an entity is located in, associated with, or part of the Mission Bay area.
-
B.
SanFranciscoManager
Indicates that an entity serves as a manager whose role or position is specifically associated with San Francisco.
-
C.
missionBayCapacity
Indicates the capacity or maximum volume that Mission Bay can hold or accommodate.
-
D.
isMajorUrbanBayFor
Indicates that one location is a primary, densely developed urban bay area associated with another geographic or administrative entity.
-
E.
hasBioluminescentBay
Indicates that a location possesses a bay where the water naturally emits visible light due to bioluminescent organisms.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.