Triple
T14131089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lihir Islands |
E350166
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Londolovit
Londolovit is a settlement on the Lihir Islands of Papua New Guinea, known primarily for its proximity to the large Lihir gold mining operations.
|
E1082009
|
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: Londolovit | Statement: [Lihir Islands, hasSettlement, Londolovit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Londolovit Context triple: [Lihir Islands, hasSettlement, Londolovit]
-
A.
Jarrow
Jarrow is a historic town in northeast England known for its early medieval monastery and association with the scholar Venerable Bede.
-
B.
Swanson
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
C.
Norsup
Norsup is an Oceanic language spoken in Vanuatu, primarily associated with communities on the island of Malakula.
-
D.
Noitamina
Noitamina is a Fuji TV late-night anime programming block in Japan known for showcasing high-quality, often unconventional and character-driven series aimed at a broader audience beyond typical anime demographics.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- 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: Londolovit Triple: [Lihir Islands, hasSettlement, Londolovit]
Generated description
Londolovit is a settlement on the Lihir Islands of Papua New Guinea, known primarily for its proximity to the large Lihir gold mining operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Londolovit Target entity description: Londolovit is a settlement on the Lihir Islands of Papua New Guinea, known primarily for its proximity to the large Lihir gold mining operations.
-
A.
Jarrow
Jarrow is a historic town in northeast England known for its early medieval monastery and association with the scholar Venerable Bede.
-
B.
Swanson
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
C.
Norsup
Norsup is an Oceanic language spoken in Vanuatu, primarily associated with communities on the island of Malakula.
-
D.
Noitamina
Noitamina is a Fuji TV late-night anime programming block in Japan known for showcasing high-quality, often unconventional and character-driven series aimed at a broader audience beyond typical anime demographics.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf10e3948190b21968bc39094a8e |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce1c29b988190957020f20e7c82e2 |
completed | May 7, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce23f04308190a369c86ad2335688 |
completed | May 7, 2026, 7:04 p.m. |
Created at: April 9, 2026, 11:03 p.m.