Triple
T720430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Court of International Trade |
E14603
|
entity |
| Predicate | hasAdditionalCourtroomsIn |
P7595
|
FINISHED |
| Object | major port cities of the United States |
—
|
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 port cities of the United States | Statement: [United States Court of International Trade, hasAdditionalCourtroomsIn, major port cities of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalCourtroomsIn Context triple: [United States Court of International Trade, hasAdditionalCourtroomsIn, major port cities of the United States]
-
A.
numberOfCourts
Indicates the quantity of courts associated with or present at a given entity or location.
-
B.
hasCourthouse
chosen
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
C.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
D.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
E.
hasBranchCourts
Indicates that an institution or main court maintains one or more subordinate or satellite courts under its jurisdiction.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58e65e8819098cba7e6a20d8f33 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.