Triple
T5719429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abrantes |
E126104
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Pego
Pego is a civil parish located within the municipality of Abrantes in central Portugal.
|
E540301
|
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: Pego | Statement: [Abrantes, hasParish, Pego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pego Context triple: [Abrantes, hasParish, Pego]
-
A.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
B.
Paible
Paible is a small coastal settlement on the island of North Uist in Scotland’s Outer Hebrides.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
Pengi
Pengi is a fictional character, likely from a narrative or creative work, whose identity is associated with the duo "Pengi and Sommi."
-
E.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
- 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: Pego Triple: [Abrantes, hasParish, Pego]
Generated description
Pego is a civil parish located within the municipality of Abrantes in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pego Target entity description: Pego is a civil parish located within the municipality of Abrantes in central Portugal.
-
A.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
B.
Paible
Paible is a small coastal settlement on the island of North Uist in Scotland’s Outer Hebrides.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
Pengi
Pengi is a fictional character, likely from a narrative or creative work, whose identity is associated with the duo "Pengi and Sommi."
-
E.
Peg
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e1ec7c8190a08e1b7954db2a9d |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7db0788190b4a5e7b5d9c94588 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:46 p.m.