Triple
T14090183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotabato |
E339106
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Matalam
Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
|
E1080233
|
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: Matalam | Statement: [Cotabato, hasMunicipality, Matalam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matalam Context triple: [Cotabato, hasMunicipality, Matalam]
-
A.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
B.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
C.
Madalag
Madalag is a rural municipality in the province of Aklan in the Philippines, known for its mountainous terrain and river landscapes.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
- 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: Matalam Triple: [Cotabato, hasMunicipality, Matalam]
Generated description
Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matalam Target entity description: Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
-
A.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
B.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
C.
Madalag
Madalag is a rural municipality in the province of Aklan in the Philippines, known for its mountainous terrain and river landscapes.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a7aab88190949cf1fd8e11b050 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd5ad82388190a196d811734cdca2 |
completed | May 7, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd63a114881909ff7b2df937d24df |
completed | May 7, 2026, 6:13 p.m. |
Created at: April 9, 2026, 10:21 p.m.