Triple
T8497221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSF Signal Training School, Tigri, New Delhi |
E201129
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
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.
|
E739906
|
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: Tigri | Statement: [BSF Signal Training School, Tigri, New Delhi, locatedIn, Tigri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigri Context triple: [BSF Signal Training School, Tigri, New Delhi, locatedIn, Tigri]
-
A.
Tigre
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
B.
Leone
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
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.
Yaka
Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
-
E.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
- 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: Tigri Triple: [BSF Signal Training School, Tigri, New Delhi, locatedIn, Tigri]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigri Target entity description: 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.
-
A.
Tigre
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
B.
Leone
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
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.
Yaka
Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
-
E.
Dongo
Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57f8c508190b3a93ef180db9873 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e01e65481908b868d1810a83e0e |
completed | April 2, 2026, 11:07 a.m. |
| NEDg | Description generation | batch_69ce4ff668d4819081f4c3186437291b |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce54cc52cc81908ca48c93956ca86e |
completed | April 2, 2026, 11:36 a.m. |
Created at: March 30, 2026, 6:13 p.m.