Triple
T3221523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Latina |
E67521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Norma
Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
|
E337687
|
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: Norma | Statement: [Province of Latina, contains, Norma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Context triple: [Province of Latina, contains, Norma]
-
A.
Norma
Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
-
B.
Norma Major
Norma Major is a British charity campaigner and author best known as the wife of former UK Prime Minister John Major.
-
C.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
D.
Norma Crane
Norma Crane was an American actress best known for her role as Golde, Tevye’s wife, in the film adaptation of the musical "Fiddler on the Roof."
-
E.
Nora
Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
- 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: Norma Triple: [Province of Latina, contains, Norma]
Generated description
Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norma Target entity description: Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
-
A.
Norma
Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
-
B.
Norma Major
Norma Major is a British charity campaigner and author best known as the wife of former UK Prime Minister John Major.
-
C.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
D.
Norma Crane
Norma Crane was an American actress best known for her role as Golde, Tevye’s wife, in the film adaptation of the musical "Fiddler on the Roof."
-
E.
Nora
Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1845408190b3eccd791231c69c |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624f74b8819086fd54d0cf326fe9 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c54c508190be85da879935e7f4 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b268d60bd0819097194da2e9065947 |
completed | March 12, 2026, 7:18 a.m. |
Created at: March 8, 2026, 3:08 p.m.