Triple
T22458942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Mankada
Mankada is a prominent town in Kerala’s Malappuram district, known as a local commercial and administrative center for the surrounding region.
|
E1537800
|
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: Mankada | Statement: [Malappuram district, hasMajorTown, Mankada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mankada Context triple: [Malappuram district, hasMajorTown, Mankada]
-
A.
Mankanya
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
-
B.
Mankar
Mankar is a town in the Indian state of West Bengal known for its historical temples and rural cultural heritage.
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Dondas
Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
-
E.
Mann im Matsch
Mann im Matsch is a sculptural work by German artist Thomas Schütte that characteristically explores the human figure in a vulnerable, existential state.
- 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: Mankada Triple: [Malappuram district, hasMajorTown, Mankada]
Generated description
Mankada is a prominent town in Kerala’s Malappuram district, known as a local commercial and administrative center for the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mankada Target entity description: Mankada is a prominent town in Kerala’s Malappuram district, known as a local commercial and administrative center for the surrounding region.
-
A.
Mankanya
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
-
B.
Mankar
Mankar is a town in the Indian state of West Bengal known for its historical temples and rural cultural heritage.
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Dondas
Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
-
E.
Mann im Matsch
Mann im Matsch is a sculptural work by German artist Thomas Schütte that characteristically explores the human figure in a vulnerable, existential state.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c8217ac8190af16df3d941446ce |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d1e3ba08190bf963526973cd462 |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dc247b88190b8c54084c5727941 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:48 p.m.