Triple
T31700380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administración del Sistema Portuario Nacional Salina Cruz |
E809038
|
entity |
| Predicate | portTypeServed |
P170822
|
FINISHED |
| Object | puerto comercial |
—
|
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: puerto comercial | Statement: [Administración del Sistema Portuario Nacional Salina Cruz, portTypeServed, puerto comercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portTypeServed Context triple: [Administración del Sistema Portuario Nacional Salina Cruz, portTypeServed, puerto comercial]
-
A.
portTypes
Indicates that two entities are associated through specific types of ports or interfaces used for connection or communication.
-
B.
portTypeOperated
Indicates that one entity operates, manages, or runs the specified type of port associated with another entity.
-
C.
servedPorts
Indicates that a network service or device makes specific ports available to accept incoming connections or traffic.
-
D.
portCategory
chosen
Indicates the classification or type assigned to a port based on its function, usage, or characteristics.
-
E.
portAlsoKnownAs
Indicates that a port is referred to by an alternative name or alias.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:11 p.m.