Triple
T3019851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udarata |
E82427
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Matale
Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
|
E318353
|
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: Matale | Statement: [Udarata, containsCity, Matale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matale Context triple: [Udarata, containsCity, Matale]
-
A.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
B.
Gurabo
Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
-
C.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
-
D.
Panguipulli
Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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: Matale Triple: [Udarata, containsCity, Matale]
Generated description
Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matale Target entity description: Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
-
A.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
B.
Gurabo
Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
-
C.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
-
D.
Panguipulli
Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a940c048190bc46e2c8001db8c0 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e73b5988190be0712f4ddea92f7 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f746b50819090f3205a4e0c57f8 |
completed | March 11, 2026, 9:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb10a00081909b0ba2734122639c |
completed | March 11, 2026, 8:05 p.m. |
Created at: March 8, 2026, 3 p.m.