Triple
T14451988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibetan Children’s Village |
E358359
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
TCV Suja
TCV Suja is a branch school of the Tibetan Children’s Village network in India that provides education and care for Tibetan refugee children.
|
E1098905
|
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: TCV Suja | Statement: [Tibetan Children’s Village, hasPart, TCV Suja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCV Suja Context triple: [Tibetan Children’s Village, hasPart, TCV Suja]
-
A.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
-
B.
Piravom
Piravom is a small town in the Indian state of Kerala known for its temples, churches, and scenic location along the Muvattupuzha River.
-
C.
Tuvok
Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
-
D.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
E.
Turbina
Turbina is a small genus of flowering plants in the morning glory family, known for its twining vines and showy, funnel-shaped blooms.
- 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: TCV Suja Triple: [Tibetan Children’s Village, hasPart, TCV Suja]
Generated description
TCV Suja is a branch school of the Tibetan Children’s Village network in India that provides education and care for Tibetan refugee children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TCV Suja Target entity description: TCV Suja is a branch school of the Tibetan Children’s Village network in India that provides education and care for Tibetan refugee children.
-
A.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
-
B.
Piravom
Piravom is a small town in the Indian state of Kerala known for its temples, churches, and scenic location along the Muvattupuzha River.
-
C.
Tuvok
Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
-
D.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
E.
Turbina
Turbina is a small genus of flowering plants in the morning glory family, known for its twining vines and showy, funnel-shaped blooms.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916244948190bb09d1bfc485ba50 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5be12da481909b11290965ec48da |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5de2ebac81908042f6696400a74d |
completed | May 8, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e6927c88190add8d31989bec043 |
completed | May 8, 2026, 3:54 a.m. |
Created at: April 10, 2026, 1:19 a.m.