Triple
T25318933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTPAP |
E634823
|
entity |
| Predicate | representsPort |
P87969
|
FINISHED |
| Object | Port of Port-au-Prince |
—
|
NE NERFINISHED |
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: Port of Port-au-Prince | Statement: [HTPAP, representsPort, Port of Port-au-Prince]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsPort Context triple: [HTPAP, representsPort, Port of Port-au-Prince]
-
A.
refersToPort
chosen
Indicates that one entity designates, points to, or is associated with a specific port (such as a network, hardware, or logical port).
-
B.
hasPortRole
Indicates that an entity participates in a port with a specified functional or operational role.
-
C.
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).
-
D.
isPortFor
Indicates that one entity serves as a port, interface, or connection point for another entity.
-
E.
isInPort
Indicates that an entity (such as a vessel or vehicle) is currently located within or docked at a specific port.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 1:28 p.m.