Triple
T8308791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putumayo Department |
E194534
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
|
E807456
|
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: Orito | Statement: [Putumayo Department, containsMunicipality, Orito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orito Context triple: [Putumayo Department, containsMunicipality, Orito]
-
A.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
B.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
C.
Oguta
Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
- 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: Orito Triple: [Putumayo Department, containsMunicipality, Orito]
Generated description
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orito Target entity description: Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
A.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
B.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
C.
Oguta
Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1524be8c08190b4d979a677dc5958 |
completed | April 4, 2026, 6:02 p.m. |
| NEDg | Description generation | batch_69d153aca5108190bcc9c830f48f595a |
completed | April 4, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1577105988190a6e6aebc16e9421d |
completed | April 4, 2026, 6:24 p.m. |
Created at: March 30, 2026, 5:54 p.m.