Triple
T4577169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallia Narbonensis |
E123165
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Arelate
Arelate, known today as Arles in southern France, was an important Roman city renowned for its strategic location and impressive ancient monuments such as its amphitheater and theater.
|
E133561
|
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: Arelate | Statement: [Gallia Narbonensis, majorCity, Arelate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arelate Context triple: [Gallia Narbonensis, majorCity, Arelate]
-
A.
Arke
Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
-
B.
Antu
Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
-
C.
Antu
Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
- 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: Arelate Triple: [Gallia Narbonensis, majorCity, Arelate]
Generated description
Arelate, known today as Arles in southern France, was an important Roman city renowned for its strategic location and impressive ancient monuments such as its amphitheater and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arelate Target entity description: Arelate, known today as Arles in southern France, was an important Roman city renowned for its strategic location and impressive ancient monuments such as its amphitheater and theater.
-
A.
Arelate
chosen
Arelate was an important ancient Roman city in southern Gaul, known today as Arles in modern France.
-
B.
Arke
Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
-
C.
Antu
Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
-
D.
Antu
Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
-
E.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
- F. None of above.
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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58e153908190ac8f578e03aecdfc |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3ee510481909d481b157bd0b2bd |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd5a85488819092a4a7cc4f58a425 |
completed | March 20, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd63370088190adca99373f83374f |
completed | March 20, 2026, 11:20 p.m. |
Created at: March 20, 2026, 1:10 p.m.