Triple
T2092496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polynesian outliers |
E32700
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object |
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
|
E232897
|
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: Pileni | Statement: [Polynesian outliers, hasExample, Pileni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pileni Context triple: [Polynesian outliers, hasExample, Pileni]
-
A.
Pila
Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
-
B.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
C.
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
D.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
E.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
- 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: Pileni Triple: [Polynesian outliers, hasExample, Pileni]
Generated description
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pileni Target entity description: Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
-
A.
Pila
Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
-
B.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
C.
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
D.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
E.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2748f09c81908d471b02a185ec1e |
completed | March 9, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ae27e4a6f88190a6af44f2cc822f31 |
completed | March 9, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2876710c81909451744f48337998 |
completed | March 9, 2026, 1:55 a.m. |
Created at: March 4, 2026, 7:43 p.m.