Triple
T9957224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Latium |
E195473
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Gabii
Gabii was an important ancient Latin city east of Rome, known for its early political and military significance in the region of Latium.
|
E831723
|
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: Gabii | Statement: [Old Latium, majorCity, Gabii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabii Context triple: [Old Latium, majorCity, Gabii]
-
A.
Kamitsumaki
Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
-
B.
Dejima
Dejima was a small artificial island in Nagasaki Bay that served as the Dutch trading post and Japan’s primary window to the Western world during its period of national isolation (sakoku).
-
C.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
-
D.
Daigo no misasagi
Daigo no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Daigo.
-
E.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
- 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: Gabii Triple: [Old Latium, majorCity, Gabii]
Generated description
Gabii was an important ancient Latin city east of Rome, known for its early political and military significance in the region of Latium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabii Target entity description: Gabii was an important ancient Latin city east of Rome, known for its early political and military significance in the region of Latium.
-
A.
Kamitsumaki
Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
-
B.
Dejima
Dejima was a small artificial island in Nagasaki Bay that served as the Dutch trading post and Japan’s primary window to the Western world during its period of national isolation (sakoku).
-
C.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
-
D.
Daigo no misasagi
Daigo no misasagi is the imperial mausoleum in Kyoto that serves as the traditional burial site of Japan’s Emperor Daigo.
-
E.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cceb608190ad4424afaddcabfa |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d7988948190bae81c1020f2b605 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23e6ee6d48190ae724d0ee96b64bf |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23fd274dc8190b7af27cf503d7dc6 |
completed | April 5, 2026, 10:56 a.m. |
Created at: March 30, 2026, 8:46 p.m.