Triple
T4656243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dauphin Island |
E102415
|
entity |
| Predicate | Fort GainesLocatedOn |
P58246
|
FINISHED |
| Object | eastern end of Dauphin Island |
—
|
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: eastern end of Dauphin Island | Statement: [Dauphin Island, Fort GainesLocatedOn, eastern end of Dauphin Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Fort GainesLocatedOn Context triple: [Dauphin Island, Fort GainesLocatedOn, eastern end of Dauphin Island]
-
A.
garrisonCounty
Indicates that a military garrison is stationed in, or assigned responsibility for, a particular county.
-
B.
southernGate
Indicates that one entity serves as or is located at the southern gate or southern entrance relative to another entity.
-
C.
servesAsNavalAirStationFor
Indicates that one entity functions as a naval air station providing aviation facilities and support for another entity (such as a navy, fleet, or military force).
-
D.
flagshipStationLocation
Indicates the location where an organization’s primary or flagship station is situated.
-
E.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63193a108190a7d9aec1d1d40cf8 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:14 p.m.