Triple
T16471739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pharnavazid dynasty |
E400078
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Kartam of Iberia
Kartam of Iberia was a notable member of the ancient Pharnavazid royal line that ruled the early Georgian kingdom of Iberia.
|
E1214577
|
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: Kartam of Iberia | Statement: [Pharnavazid dynasty, hasNotableMember, Kartam of Iberia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kartam of Iberia Context triple: [Pharnavazid dynasty, hasNotableMember, Kartam of Iberia]
-
A.
Sugambri
The Sugambri were an ancient Germanic tribe that lived along the lower Rhine and were known for their conflicts with the Roman Empire.
-
B.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
C.
Liria
Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
-
D.
Kindelán
Kindelán is a Spanish surname most notably associated with figures in military and political history.
-
E.
Oliba
Oliba was a medieval Catalan count who became a prominent Benedictine abbot and one of the leading figures of the Peace and Truce of God movement.
- 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: Kartam of Iberia Triple: [Pharnavazid dynasty, hasNotableMember, Kartam of Iberia]
Generated description
Kartam of Iberia was a notable member of the ancient Pharnavazid royal line that ruled the early Georgian kingdom of Iberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kartam of Iberia Target entity description: Kartam of Iberia was a notable member of the ancient Pharnavazid royal line that ruled the early Georgian kingdom of Iberia.
-
A.
Sugambri
The Sugambri were an ancient Germanic tribe that lived along the lower Rhine and were known for their conflicts with the Roman Empire.
-
B.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
C.
Liria
Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
-
D.
Kindelán
Kindelán is a Spanish surname most notably associated with figures in military and political history.
-
E.
Oliba
Oliba was a medieval Catalan count who became a prominent Benedictine abbot and one of the leading figures of the Peace and Truce of God movement.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5d16008190bd874080e86b8a2f |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a005016a3fc8190967fccc6e16b6ea8 |
completed | May 10, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0050b5afb4819089d27d279ba642af |
completed | May 10, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:11 a.m.