Triple
T9594787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo de Mayo |
E231502
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Tigre
Tigre is a riverside city in the Buenos Aires Province of Argentina, known for its Paraná Delta waterways, tourism, and recreational boating.
|
E808550
|
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: Tigre | Statement: [Campo de Mayo, nearbyCity, Tigre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigre Context triple: [Campo de Mayo, nearbyCity, Tigre]
-
A.
Tigre
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
B.
Tigri
Tigri is a locality in South Delhi, India, known primarily as a residential area that also hosts institutions such as the BSF Signal Training School.
-
C.
Leone
Leone is an Italian surname most famously associated with Sergio Leone, the influential film director known for pioneering the Spaghetti Western genre.
-
D.
Leone
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
E.
Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
- 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: Tigre Triple: [Campo de Mayo, nearbyCity, Tigre]
Generated description
Tigre is a riverside city in the Buenos Aires Province of Argentina, known for its Paraná Delta waterways, tourism, and recreational boating.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigre Target entity description: Tigre is a riverside city in the Buenos Aires Province of Argentina, known for its Paraná Delta waterways, tourism, and recreational boating.
-
A.
Tigre
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
B.
Tigri
Tigri is a locality in South Delhi, India, known primarily as a residential area that also hosts institutions such as the BSF Signal Training School.
-
C.
Leone
Leone is an Italian surname most famously associated with Sergio Leone, the influential film director known for pioneering the Spaghetti Western genre.
-
D.
Leone
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
E.
Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a14fd308190beb8fda5a9e912c7 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16199845881908f8a91182ca48250 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d16230a99481909d82d03babe6729a |
completed | April 4, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d16321aba88190a7e8359dbaa5362b |
completed | April 4, 2026, 7:14 p.m. |
Created at: March 30, 2026, 8:07 p.m.