Triple
T14633024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Benedict XII |
E343528
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Saverdun
Saverdun is a small commune in southwestern France, historically notable as the birthplace of Pope Benedict XII.
|
E1110615
|
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: Saverdun | Statement: [Pope Benedict XII, placeOfBirth, Saverdun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saverdun Context triple: [Pope Benedict XII, placeOfBirth, Saverdun]
-
A.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
-
B.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
-
C.
Reinswald
Reinswald is a small alpine village and ski resort located in the Sarntal Alps of South Tyrol in northern Italy.
-
D.
Belsand
Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
-
E.
Dushore
Dushore is a small borough in Sullivan County, Pennsylvania, known as a local commercial and community hub in a largely rural, mountainous region.
- 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: Saverdun Triple: [Pope Benedict XII, placeOfBirth, Saverdun]
Generated description
Saverdun is a small commune in southwestern France, historically notable as the birthplace of Pope Benedict XII.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saverdun Target entity description: Saverdun is a small commune in southwestern France, historically notable as the birthplace of Pope Benedict XII.
-
A.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
-
B.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
-
C.
Reinswald
Reinswald is a small alpine village and ski resort located in the Sarntal Alps of South Tyrol in northern Italy.
-
D.
Belsand
Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
-
E.
Dushore
Dushore is a small borough in Sullivan County, Pennsylvania, known as a local commercial and community hub in a largely rural, mountainous region.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:26 a.m.