Triple
T9370409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavatmal district |
E225515
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Pusad
Pusad is a town in Maharashtra, India, known as a commercial and educational center within the Yavatmal district.
|
E794823
|
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: Pusad | Statement: [Yavatmal district, hasTown, Pusad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pusad Context triple: [Yavatmal district, hasTown, Pusad]
-
A.
Pacaso
Pacaso is a real estate company that specializes in co-ownership of luxury second homes, allowing multiple buyers to purchase and share high-end properties.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Papudo
Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
-
D.
Pachoras
Pachoras is the ancient name of Faras, a historic Nubian town in northern Sudan known for its important archaeological remains and Christian-era cathedral wall paintings.
-
E.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
- 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: Pusad Triple: [Yavatmal district, hasTown, Pusad]
Generated description
Pusad is a town in Maharashtra, India, known as a commercial and educational center within the Yavatmal district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pusad Target entity description: Pusad is a town in Maharashtra, India, known as a commercial and educational center within the Yavatmal district.
-
A.
Pacaso
Pacaso is a real estate company that specializes in co-ownership of luxury second homes, allowing multiple buyers to purchase and share high-end properties.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Papudo
Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
-
D.
Pachoras
Pachoras is the ancient name of Faras, a historic Nubian town in northern Sudan known for its important archaeological remains and Christian-era cathedral wall paintings.
-
E.
La Payunia
La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd508274d88190a64b79ab731ac6a1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f411bb2c819091b67c70956c546b |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f5e382d88190bfb61c8e3a6cd646 |
completed | April 4, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f6544b008190b220687c5e9abac3 |
completed | April 4, 2026, 11:30 a.m. |
Created at: March 30, 2026, 7:43 p.m.