Triple
T2918950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faustina the Younger |
E78673
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Halala
Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
|
E310247
|
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: Halala | Statement: [Faustina the Younger, deathPlace, Halala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halala Context triple: [Faustina the Younger, deathPlace, Halala]
-
A.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
B.
Hala
Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
-
C.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
D.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
E.
Harem
"Harem" is a song by the American rock band War from their album "War & Leisure."
- 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: Halala Triple: [Faustina the Younger, deathPlace, Halala]
Generated description
Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halala Target entity description: Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
-
A.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
B.
Hala
Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
-
C.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
D.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
E.
Harem
"Harem" is a song by the American rock band War from their album "War & Leisure."
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a53f8c8190b188d549f1161e84 |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562fc5f081909c9130f71f379a24 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b06117ba088190886fa464f54525cd |
completed | March 10, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0628d5f608190b7a13ac2e8b8d721 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 8, 2026, 2:54 p.m.