Triple

T35619399

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sissanese	`E1029268`	entity
Predicate	traditionalLocality	`P49478`	FINISHED
Object	Sissano Sissano is a coastal village in northwestern Papua New Guinea known for its Sissano Lagoon and the devastating 1998 tsunami that struck the area.	`E2149218`	NE FINISHED

How this triple was built (3 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: Sissano | Statement: [Sissanese, traditionalLocality, Sissano]

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: Sissano
Triple: [Sissanese, traditionalLocality, Sissano]

Generated description

Sissano is a coastal village in northwestern Papua New Guinea known for its Sissano Lagoon and the devastating 1998 tsunami that struck the area.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: traditionalLocality
Context triple: [Sissanese, traditionalLocality, Sissano]

A. modernLocality
Indicates that an entity is located in, associated with, or corresponds to a present-day geographic or administrative locality.
B. localityOf
Indicates that one entity is the specific place, area, or locality in which another entity is situated or occurs.
C. traditionalDistrict chosen
Indicates that an entity is located in, associated with, or belongs to a historically recognized or customary administrative or cultural district.
D. originLocality
Indicates the specific locality or place where an entity (typically a specimen or item) originally came from or was collected.
E. traditionalInCity
Indicates that something is customary, long-established, or historically rooted within a particular city.
F. None of above.

Provenance (6 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_69f76e0709408190bbe322bf1707ef6b`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69ff6fba1a5c8190a660279a6271d785`	completed	May 9, 2026, 5:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a386848ed6c819084daa8bb1f920a82`	completed	June 21, 2026, 10:40 p.m.
NEDg	Description generation	`batch_6a386913196c81908274a2e909d943b8`	completed	June 21, 2026, 10:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3869ecb09c8190bffe477099dcc2cf`	completed	June 21, 2026, 10:47 p.m.
PD	Predicate disambiguation	`batch_69ff6f59388c8190a7d6ab7bc7705bc0`	completed	May 9, 2026, 5:31 p.m.

Created at: May 3, 2026, 4:05 p.m.