Triple
T7124816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tlawng River |
E166032
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Mamit
Mamit is a town in the northeastern Indian state of Mizoram, serving as the administrative headquarters of Mamit district.
|
E644047
|
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: Mamit | Statement: [Tlawng River, nearbySettlement, Mamit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamit Context triple: [Tlawng River, nearbySettlement, Mamit]
-
A.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
B.
Maitum
Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
-
C.
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
-
D.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
E.
Mima
Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
- 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: Mamit Triple: [Tlawng River, nearbySettlement, Mamit]
Generated description
Mamit is a town in the northeastern Indian state of Mizoram, serving as the administrative headquarters of Mamit district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamit Target entity description: Mamit is a town in the northeastern Indian state of Mizoram, serving as the administrative headquarters of Mamit district.
-
A.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
B.
Maitum
Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
-
C.
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
-
D.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
E.
Mima
Mima is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64c0f688190a9b7482d86c2f033 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a331ff988190886bde89035623c0 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a46d95b88190bbadf3e8d1788489 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a52e6a1c8190bf45e0aa7a920baf |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.