Triple

T23215527
Position Surface form Disambiguated ID Type / Status
Subject Thomas J. Hatem Memorial Bridge E580726 entity
Predicate replaced P101 FINISHED
Object Conowingo Bridge
Conowingo Bridge was an earlier highway crossing over the Susquehanna River in Maryland that was ultimately superseded by the Thomas J. Hatem Memorial Bridge.
E1709598 NE FINISHED

How this triple was built (2 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: Conowingo Bridge | Statement: [Thomas J. Hatem Memorial Bridge, replaced, Conowingo 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: Conowingo Bridge
Triple: [Thomas J. Hatem Memorial Bridge, replaced, Conowingo Bridge]
Generated description
Conowingo Bridge was an earlier highway crossing over the Susquehanna River in Maryland that was ultimately superseded by the Thomas J. Hatem Memorial Bridge.

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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a112711fbd88190a2f05e778b540508 completed May 23, 2026, 4:03 a.m.
NEDg Description generation batch_6a11350892588190882daffccc65ec61 completed May 23, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a113610d1d8819097ce5070e47a7645 completed May 23, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.