Triple
T17715614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin Gardner |
E442188
|
entity |
| Predicate | rankAtPortHudson |
P128700
|
FINISHED |
| Object | major general |
—
|
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: major general | Statement: [Franklin Gardner, rankAtPortHudson, major general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAtPortHudson Context triple: [Franklin Gardner, rankAtPortHudson, major general]
-
A.
majorPortOnRiver
Indicates that a port is a primary or significant harbor facility located on the banks of a specified river.
-
B.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
-
C.
rankByPopulationInNYC
Indicates the relative ordering of entities based on the size of their populations within New York City.
-
D.
cityOnBothBanks
Indicates that a city is situated so that it occupies or extends across both banks of a river.
-
E.
portRank
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47480955481908fa0d3d34aaedd48 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:06 a.m.