Triple
T30400568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom port network |
E773335
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Port of Kirkwall
The Port of Kirkwall is the main harbour and cruise port serving Kirkwall in Orkney, Scotland, acting as a key maritime gateway for passengers and cargo in the Northern Isles.
|
E1930156
|
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 Kirkwall | Statement: [United Kingdom port network, hasPart, Port of Kirkwall]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Port of Kirkwall Triple: [United Kingdom port network, hasPart, Port of Kirkwall]
Generated description
The Port of Kirkwall is the main harbour and cruise port serving Kirkwall in Orkney, Scotland, acting as a key maritime gateway for passengers and cargo in the Northern Isles.
Provenance (5 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68617d5e88190bc09d1ee6437d240 |
completed | May 2, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28b074250c819090bd2f2adf6b3fc4 |
completed | June 10, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a28b10fb994819097c306fab1352bbd |
completed | June 10, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28b1d59c0881909073de8cceebb293 |
completed | June 10, 2026, 12:37 a.m. |
Created at: April 29, 2026, 8:03 p.m.