Triple
T12709012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Seedaseer |
E303664
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Seedaseer
Seedaseer is a village in southern India historically notable as the site of the Battle of Seedaseer during the Fourth Anglo-Mysore War.
|
E998671
|
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: Seedaseer | Statement: [Battle of Seedaseer, location, Seedaseer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seedaseer Context triple: [Battle of Seedaseer, location, Seedaseer]
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
El Seed
El Seed is a plant-themed supervillain from the satirical superhero comic and animated series "The Tick," known for his eco-terrorist schemes and exaggerated, comedic persona.
-
C.
Semence
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
-
D.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
-
E.
Sprout
Sprout was a U.S. cable television network focused on preschool children's programming before it was rebranded as Universal Kids.
- 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: Seedaseer Triple: [Battle of Seedaseer, location, Seedaseer]
Generated description
Seedaseer is a village in southern India historically notable as the site of the Battle of Seedaseer during the Fourth Anglo-Mysore War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seedaseer Target entity description: Seedaseer is a village in southern India historically notable as the site of the Battle of Seedaseer during the Fourth Anglo-Mysore War.
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
El Seed
El Seed is a plant-themed supervillain from the satirical superhero comic and animated series "The Tick," known for his eco-terrorist schemes and exaggerated, comedic persona.
-
C.
Semence
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
-
D.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
-
E.
Sprout
Sprout was a U.S. cable television network focused on preschool children's programming before it was rebranded as Universal Kids.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6738fb13881909be53b9bd9960944 |
completed | May 2, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f677cabbb48190b5a097af0237595c |
completed | May 2, 2026, 10:16 p.m. |
Created at: April 9, 2026, 5:23 p.m.