Triple
T17932873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of the Islanders |
E448377
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tenos
Tenos is an ancient Greek island city-state that belonged to the Aegean maritime alliance known as the League of the Islanders.
|
E1296415
|
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: Tenos | Statement: [League of the Islanders, hasMember, Tenos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenos Context triple: [League of the Islanders, hasMember, Tenos]
-
A.
Teno
Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
-
B.
Tenes
Tenes is a genus of tree squirrels within the tribe Sciurini, a group of rodents known for their arboreal habits and bushy tails.
-
C.
Tenom
Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
-
D.
Tiosa
Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
-
E.
Toda
Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
- 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: Tenos Triple: [League of the Islanders, hasMember, Tenos]
Generated description
Tenos is an ancient Greek island city-state that belonged to the Aegean maritime alliance known as the League of the Islanders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tenos Target entity description: Tenos is an ancient Greek island city-state that belonged to the Aegean maritime alliance known as the League of the Islanders.
-
A.
Teno
Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
-
B.
Tenes
Tenes is a genus of tree squirrels within the tribe Sciurini, a group of rodents known for their arboreal habits and bushy tails.
-
C.
Tenom
Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
-
D.
Tiosa
Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
-
E.
Toda
Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a55381708190b5dfce6a81bb20d8 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03213a24b48190aad2297210e86d78 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0322181a5c8190b34ea80445fc5596 |
completed | May 12, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0322a4c9448190823e9fdc03ea9f90 |
completed | May 12, 2026, 12:52 p.m. |
Created at: April 10, 2026, 10:21 a.m.