Triple
T19479990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Añelo Department |
E487354
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Añelo
Añelo is a small but strategically important town in Argentina’s Neuquén Province, known as a key service and logistics hub for the Vaca Muerta shale oil and gas development.
|
E1378723
|
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: Añelo | Statement: [Añelo Department, capital, Añelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Añelo Context triple: [Añelo Department, capital, Añelo]
-
A.
Anagaire
Anagaire is a small Irish-speaking coastal village in County Donegal, Ireland, known for its strong Gaeltacht culture and scenic Atlantic setting.
-
B.
Aneto
Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
-
C.
Anelcauhat
Anelcauhat is a coastal village and primary settlement on Aneityum Island in Vanuatu, known as a local hub for residents and visiting cruise ships.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Anelesi
Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
- 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: Añelo Triple: [Añelo Department, capital, Añelo]
Generated description
Añelo is a small but strategically important town in Argentina’s Neuquén Province, known as a key service and logistics hub for the Vaca Muerta shale oil and gas development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Añelo Target entity description: Añelo is a small but strategically important town in Argentina’s Neuquén Province, known as a key service and logistics hub for the Vaca Muerta shale oil and gas development.
-
A.
Anagaire
Anagaire is a small Irish-speaking coastal village in County Donegal, Ireland, known for its strong Gaeltacht culture and scenic Atlantic setting.
-
B.
Aneto
Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
-
C.
Anelcauhat
Anelcauhat is a coastal village and primary settlement on Aneityum Island in Vanuatu, known as a local hub for residents and visiting cruise ships.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Anelesi
Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343882a88190b3cfa65e6cac80d3 |
completed | April 20, 2026, 2:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074055c19c81909fa5d7be42b24de8 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07420720f881908010cdc7a140eed9 |
completed | May 15, 2026, 3:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0742f860948190a8619dce3e1461b8 |
completed | May 15, 2026, 3:59 p.m. |
Created at: April 10, 2026, 1:39 p.m.