Triple
T10094682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tocopilla |
E215833
|
entity |
| Predicate | isPortFor |
P92400
|
FINISHED |
| Object | mineral exports |
—
|
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: mineral exports | Statement: [Tocopilla, isPortFor, mineral exports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPortFor Context triple: [Tocopilla, isPortFor, mineral exports]
-
A.
isInPort
Indicates that an entity (such as a vessel or vehicle) is currently located within or docked at a specific port.
-
B.
hasPortOn
Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
-
C.
refersToPort
Indicates that one entity designates, points to, or is associated with a specific port (such as a network, hardware, or logical port).
-
D.
usedOnPort
Indicates that something is applied, connected, or operates specifically on a given port.
-
E.
hasPortConnection
Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0784c288190967d143beca32c4b |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd5150ae98819086c4f822114b4e2c |
completed | April 1, 2026, 5:09 p.m. |
Created at: March 30, 2026, 9:01 p.m.