Triple
T12794787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Turner |
E305859
|
entity |
| Predicate | homePort |
P3150
|
FINISHED |
| Object | Port Royal |
E258745
|
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 Royal | Statement: [Will Turner, homePort, Port Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Royal Context triple: [Will Turner, homePort, Port Royal]
-
A.
Port Royal
Port Royal was the principal early French settlement and administrative center in the colony of Acadia in northeastern North America.
-
B.
Port Royal
chosen
Port Royal is a historic Jamaican town at the mouth of Kingston Harbour, once a notorious 17th-century pirate haven and major Caribbean port.
-
C.
Port Royal Island
Port Royal Island is a sea island in Beaufort County, South Carolina, known for its historic Lowcountry communities, coastal landscapes, and role in early American and Civil War history.
-
D.
Port Royal Cove
Port Royal Cove is a picturesque, sheltered beach cove in Bermuda known for its calm turquoise waters and pink sand.
-
E.
Port Royal, Virginia
Port Royal, Virginia is a small historic town on the Rappahannock River known for its colonial-era roots and Civil War connections.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.