Triple
T17223270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaksdal Municipality |
E418043
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Ekso
Ekso is a river in Vestland county, Norway, known for flowing through Vaksdal Municipality and its surrounding mountainous landscape.
|
E1257775
|
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: Ekso | Statement: [Vaksdal Municipality, hasRiver, Ekso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekso Context triple: [Vaksdal Municipality, hasRiver, Ekso]
-
A.
Exos
Exos is Seagate Technology’s high-capacity enterprise hard drive product line designed for data centers and large-scale storage environments.
-
B.
Air-Walker
Air-Walker is a cosmic Marvel Comics character who serves as one of Galactus’s powerful heralds, endowed with vast energy-manipulating abilities and interstellar travel.
-
C.
Bionic Gloves
Bionic Gloves is a performance glove brand known for ergonomically designed, anatomically padded gloves used in sports and fitness to enhance grip and comfort.
-
D.
Trigno
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
-
E.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
- 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: Ekso Triple: [Vaksdal Municipality, hasRiver, Ekso]
Generated description
Ekso is a river in Vestland county, Norway, known for flowing through Vaksdal Municipality and its surrounding mountainous landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekso Target entity description: Ekso is a river in Vestland county, Norway, known for flowing through Vaksdal Municipality and its surrounding mountainous landscape.
-
A.
Exos
Exos is Seagate Technology’s high-capacity enterprise hard drive product line designed for data centers and large-scale storage environments.
-
B.
Air-Walker
Air-Walker is a cosmic Marvel Comics character who serves as one of Galactus’s powerful heralds, endowed with vast energy-manipulating abilities and interstellar travel.
-
C.
Bionic Gloves
Bionic Gloves is a performance glove brand known for ergonomically designed, anatomically padded gloves used in sports and fitness to enhance grip and comfort.
-
D.
Trigno
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
-
E.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169f4d520819095774ce5ee2d2220 |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a55114881909496549dfb7b6ff1 |
completed | May 11, 2026, 5:34 a.m. |
Created at: April 10, 2026, 5:38 a.m.