Triple
T716355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haverhill Line |
E14322
|
entity |
| Predicate | servesMunicipality |
P3936
|
FINISHED |
| Object | Reading |
E22663
|
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: Reading | Statement: [Haverhill Line, servesMunicipality, Reading]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading Context triple: [Haverhill Line, servesMunicipality, Reading]
-
A.
Reading
chosen
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
B.
Read
Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
-
C.
The Right to Read
"The Right to Read" is a short story by Richard Stallman that warns about the dangers of restrictive digital rights management and the loss of freedoms in a future where sharing digital works is criminalized.
-
D.
Woman Reading
Woman Reading is a painting by French artist Henri Matisse that exemplifies his use of bold color and simplified forms to depict an intimate, contemplative interior scene.
-
E.
Literature
Literature is the body of written works, especially those considered to have artistic or intellectual value, encompassing genres such as poetry, fiction, drama, and essays across cultures and historical periods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a57649dc8190bfdee2f9c0c90415 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb5578c8190b5380f1994fdb4d2 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.