Triple
T15494565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Corpus Christi |
E378780
|
entity |
| Predicate | Port of Corpus Christi_rank |
P43437
|
FINISHED |
| Object | one of the largest ports in the United States by tonnage |
—
|
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: one of the largest ports in the United States by tonnage | Statement: [City of Corpus Christi, Port of Corpus Christi_rank, one of the largest ports in the United States by tonnage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Port of Corpus Christi_rank Context triple: [City of Corpus Christi, Port of Corpus Christi_rank, one of the largest ports in the United States by tonnage]
-
A.
portRank
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
B.
isAmongLargestPortsIn
chosen
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
-
C.
hasHarborRanking
Indicates the relative position or status of a harbor within an ordered ranking or evaluation system.
-
D.
isPortOf
Indicates that one location or facility serves as a port or harbor for another place, entity, or transportation route.
-
E.
isPortCityOn
Indicates that a city functions as a port located on the specified body of water.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:49 a.m.