Triple
T12494076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisidia |
E298637
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Selge
Selge was an important ancient city in the region of Pisidia in southwestern Anatolia, known for its strategic location and Hellenistic-era prominence.
|
E987479
|
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: Selge | Statement: [Pisidia, majorCity, Selge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selge Context triple: [Pisidia, majorCity, Selge]
-
A.
Ljusne
Ljusne is a small industrial locality in Gävleborg County, Sweden, known historically for its sawmills and pulp and paper industry along the Ljusnan River.
-
B.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
C.
Sääse
Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
-
D.
Ljuset
Ljuset is a novel by Swedish author Torgny Lindgren, known for its lyrical prose and exploration of memory, faith, and rural life in northern Sweden.
-
E.
Schlichten
Schlichten is a district or locality within the town of Schorndorf in the German state of Baden-Württemberg.
- 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: Selge Triple: [Pisidia, majorCity, Selge]
Generated description
Selge was an important ancient city in the region of Pisidia in southwestern Anatolia, known for its strategic location and Hellenistic-era prominence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selge Target entity description: Selge was an important ancient city in the region of Pisidia in southwestern Anatolia, known for its strategic location and Hellenistic-era prominence.
-
A.
Ljusne
Ljusne is a small industrial locality in Gävleborg County, Sweden, known historically for its sawmills and pulp and paper industry along the Ljusnan River.
-
B.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
C.
Sääse
Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
-
D.
Ljuset
Ljuset is a novel by Swedish author Torgny Lindgren, known for its lyrical prose and exploration of memory, faith, and rural life in northern Sweden.
-
E.
Schlichten
Schlichten is a district or locality within the town of Schorndorf in the German state of Baden-Württemberg.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64badad488190ae1c6c2883a88a4b |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64f9c0e8c81908db3cad51daa77b6 |
completed | May 2, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6504b033c8190a31f49f2e59c6810 |
completed | May 2, 2026, 7:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.