Triple
T10862335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philipsburg |
E256435
|
entity |
| Predicate | hasTransportFacility |
P2413
|
FINISHED |
| Object | Port of Philipsburg |
E256442
|
NE 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: Port of Philipsburg | Statement: [Philipsburg, hasTransportFacility, Port of Philipsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Philipsburg Context triple: [Philipsburg, hasTransportFacility, Port of Philipsburg]
-
A.
Port of Philipsburg
chosen
The Port of Philipsburg is the primary cruise and cargo harbor of Sint Maarten, serving as a major Caribbean maritime and tourism hub.
-
B.
Port of Georgetown
The Port of Georgetown is the principal maritime gateway of Guyana’s capital, handling the country’s main cargo and shipping operations along the Demerara River.
-
C.
Port of Paramaribo
The Port of Paramaribo is Suriname’s principal seaport and a key hub for the country’s international trade and maritime transport.
-
D.
Port of San-Pédro
The Port of San-Pédro is a major seaport in southwestern Côte d'Ivoire that serves as a key hub for the export of commodities such as cocoa and timber.
-
E.
Tandag Port
Tandag Port is a local seaport facility serving passenger and cargo transport needs for the city of Tandag in Surigao del Sur, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515238108190a72eb8cd147f223d |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.