Triple

T26535230

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tuas Checkpoint	`E671225`	entity
Predicate	connectedStructure	`P62922`	FINISHED
Object	Second Link bridge The Second Link bridge is a major road bridge forming the second land crossing between Singapore and Malaysia, easing traffic congestion on the main causeway.	`E1728885`	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: Second Link bridge | Statement: [Tuas Checkpoint, connectedStructure, Second Link bridge]

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: Second Link bridge
Triple: [Tuas Checkpoint, connectedStructure, Second Link bridge]

Generated description

The Second Link bridge is a major road bridge forming the second land crossing between Singapore and Malaysia, easing traffic congestion on the main causeway.

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

Target predicate: connectedStructure
Context triple: [Tuas Checkpoint, connectedStructure, Second Link bridge]

A. linkedByStructure chosen
Indicates that two entities are connected or associated through a shared structural element, configuration, or framework.
B. integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
C. associatesStructure
Indicates a relationship where one entity is linked or connected to a particular structure, typically to denote that the structure is relevant, attached, or functionally associated with it.
D. viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
E. branchStructure
Indicates how the parts of a branching system are organized and connected relative to one another.
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_69eeb3206e748190b90c85cc81f38c91`	completed	April 27, 2026, 12:51 a.m.
NER	Named-entity recognition	`batch_69f7626667f48190ad90867eb67ec582`	completed	May 3, 2026, 2:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11bb50e65c8190a0de5cdf54e5f227`	completed	May 23, 2026, 2:36 p.m.
NEDg	Description generation	`batch_6a11be7383f8819080e9eac79cf66e5e`	completed	May 23, 2026, 2:49 p.m.
NED2	Entity disambiguation (via description)	`batch_6a11c02630cc81908b494c66f63abf6b`	completed	May 23, 2026, 2:56 p.m.
PD	Predicate disambiguation	`batch_69f76175d6608190b60b268e20f49ed9`	completed	May 3, 2026, 2:53 p.m.

Created at: April 27, 2026, 1:38 a.m.