Triple
T22458944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malappuram district |
E555180
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Mongam
Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
|
E1537801
|
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: Mongam | Statement: [Malappuram district, hasMajorTown, Mongam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongam Context triple: [Malappuram district, hasMajorTown, Mongam]
-
A.
Munja
Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
-
B.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
-
C.
Mogolo
Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
-
D.
Mutengene
Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
-
E.
Mongu
Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
- 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: Mongam Triple: [Malappuram district, hasMajorTown, Mongam]
Generated description
Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mongam Target entity description: Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
-
A.
Munja
Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
-
B.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
-
C.
Mogolo
Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
-
D.
Mutengene
Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
-
E.
Mongu
Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
- 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.