Triple
T14715992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koules Fortress |
E345679
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Koules
Koules is a Venetian-era coastal fortress in Heraklion, Crete, that historically protected the city’s harbor and now serves as a prominent cultural and tourist landmark.
|
E1116501
|
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: Koules | Statement: [Koules Fortress, alsoKnownAs, Koules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koules Context triple: [Koules Fortress, alsoKnownAs, Koules]
-
A.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
B.
Kashmore
Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
-
C.
Qualley
Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
-
D.
Kole
Kole is a music producer known for working on the album "Songs About Girls."
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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: Koules Triple: [Koules Fortress, alsoKnownAs, Koules]
Generated description
Koules is a Venetian-era coastal fortress in Heraklion, Crete, that historically protected the city’s harbor and now serves as a prominent cultural and tourist landmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koules Target entity description: Koules is a Venetian-era coastal fortress in Heraklion, Crete, that historically protected the city’s harbor and now serves as a prominent cultural and tourist landmark.
-
A.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
B.
Kashmore
Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
-
C.
Qualley
Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
-
D.
Kole
Kole is a music producer known for working on the album "Songs About Girls."
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98688f48190b2b19ce7aa06a6db |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf3f89f088190ab745bddcc99a36c |
completed | May 8, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf47f265c8190a5494dcc7baf00fa |
completed | May 8, 2026, 2:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.