Triple
T12310095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pune district |
E293453
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Velhe
Velhe is a small town in the Western Ghats of Maharashtra, India, known as a base for the historic Torna Fort and surrounding trekking routes.
|
E973550
|
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: Velhe | Statement: [Pune district, containsTown, Velhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velhe Context triple: [Pune district, containsTown, Velhe]
-
A.
Valesdir
Valesdir is a settlement on the planet Epi, likely serving as one of its inhabited or developed locations.
-
B.
Eldrige
Eldrige is a given name and surname that appears in various English-speaking contexts, often as a variant of the name Eldridge.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Ven Te
Ven Te is the given name of Ven Te Chow, a prominent Chinese-American civil engineer and hydrologist known for his influential work in hydraulic engineering and water resources.
-
E.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
- 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: Velhe Triple: [Pune district, containsTown, Velhe]
Generated description
Velhe is a small town in the Western Ghats of Maharashtra, India, known as a base for the historic Torna Fort and surrounding trekking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velhe Target entity description: Velhe is a small town in the Western Ghats of Maharashtra, India, known as a base for the historic Torna Fort and surrounding trekking routes.
-
A.
Valesdir
Valesdir is a settlement on the planet Epi, likely serving as one of its inhabited or developed locations.
-
B.
Eldrige
Eldrige is a given name and surname that appears in various English-speaking contexts, often as a variant of the name Eldridge.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Ven Te
Ven Te is the given name of Ven Te Chow, a prominent Chinese-American civil engineer and hydrologist known for his influential work in hydraulic engineering and water resources.
-
E.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62045b20c819083c755fbe99a9a7f |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.