Triple
T1941573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripura |
E41565
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Ambassa
Ambassa is a town in the northeastern Indian state of Tripura, serving as an administrative and commercial center in the Dhalai district.
|
E215718
|
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: Ambassa | Statement: [Tripura, containsTown, Ambassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambassa Context triple: [Tripura, containsTown, Ambassa]
-
A.
Abbenes
Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
B.
Argomedo
Argomedo is a Spanish-language surname most notably associated with Chilean lawyer and politician José Gregorio Argomedo.
-
C.
Empie
Empie is the middle name of Robert Empie Rogers, a 19th-century American civil engineer and educator.
-
D.
Atossa
Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
-
E.
Annaud
Annaud is the surname of Jean-Jacques Annaud, a renowned French film director, screenwriter, and producer known for works such as "The Name of the Rose" and "The Bear."
- 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: Ambassa Triple: [Tripura, containsTown, Ambassa]
Generated description
Ambassa is a town in the northeastern Indian state of Tripura, serving as an administrative and commercial center in the Dhalai district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambassa Target entity description: Ambassa is a town in the northeastern Indian state of Tripura, serving as an administrative and commercial center in the Dhalai district.
-
A.
Abbenes
Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
B.
Argomedo
Argomedo is a Spanish-language surname most notably associated with Chilean lawyer and politician José Gregorio Argomedo.
-
C.
Empie
Empie is the middle name of Robert Empie Rogers, a 19th-century American civil engineer and educator.
-
D.
Atossa
Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
-
E.
Annaud
Annaud is the surname of Jean-Jacques Annaud, a renowned French film director, screenwriter, and producer known for works such as "The Name of the Rose" and "The Bear."
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fc98e881909a539c0ebf842d8b |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3fa84e48190bac4d96aa3c3ec39 |
completed | March 8, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69adf443579081908c9ed58590b049c2 |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4d1b7b88190b1c3f0fe62dc7d1b |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 4, 2026, 7:36 p.m.