Triple
T22736418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gosport Peninsula |
E562282
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Fort Gilkicker
Fort Gilkicker is a 19th-century coastal artillery fort in Hampshire, England, built to defend the approaches to Portsmouth Harbour.
|
E1552382
|
NE FINISHED |
How this triple was built (4 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: Fort Gilkicker | Statement: [Gosport Peninsula, hasFeature, Fort Gilkicker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Gilkicker Context triple: [Gosport Peninsula, hasFeature, Fort Gilkicker]
-
A.
Kessel
Kessel is a French surname most notably borne by Joseph Kessel, a prominent 20th-century novelist and journalist.
-
B.
Kessel
Kessel is a notorious planet in the Star Wars universe, best known for its dangerous spice mines and its role in the legendary Kessel Run smuggling route.
-
C.
Rura Penthe
Rura Penthe is a notorious Klingon penal colony and icy prison planet in the Star Trek universe, feared for its brutal conditions and low survival rate.
-
D.
Trantor
Trantor is the vast, planet-wide city that serves as the capital of the Galactic Empire in Isaac Asimov’s science fiction universe.
-
E.
White Dagoba
White Dagoba is a prominent Tibetan-style Buddhist stupa and landmark situated on an island within Beijing’s historic Beihai Park.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Fort Gilkicker Triple: [Gosport Peninsula, hasFeature, Fort Gilkicker]
Generated description
Fort Gilkicker is a 19th-century coastal artillery fort in Hampshire, England, built to defend the approaches to Portsmouth Harbour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fort Gilkicker Target entity description: Fort Gilkicker is a 19th-century coastal artillery fort in Hampshire, England, built to defend the approaches to Portsmouth Harbour.
-
A.
Kessel
Kessel is a French surname most notably borne by Joseph Kessel, a prominent 20th-century novelist and journalist.
-
B.
Kessel
Kessel is a notorious planet in the Star Wars universe, best known for its dangerous spice mines and its role in the legendary Kessel Run smuggling route.
-
C.
Rura Penthe
Rura Penthe is a notorious Klingon penal colony and icy prison planet in the Star Trek universe, feared for its brutal conditions and low survival rate.
-
D.
Trantor
Trantor is the vast, planet-wide city that serves as the capital of the Galactic Empire in Isaac Asimov’s science fiction universe.
-
E.
White Dagoba
White Dagoba is a prominent Tibetan-style Buddhist stupa and landmark situated on an island within Beijing’s historic Beihai Park.
- F. None of above. chosen
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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796fc2a88190a4d86b421345b088 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fcc0f7881908e1579bae911c3b6 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b91253b5c8190b7fc62f7524017e6 |
completed | May 18, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b91cbb52481909d0b092475aa4d36 |
completed | May 18, 2026, 10:25 p.m. |
Created at: April 17, 2026, 3:22 p.m.