Triple
T10373681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln Mark VII |
E244446
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
LSC
LSC is a high-performance luxury trim level of the Lincoln Mark VII, emphasizing sportier styling and upgraded features.
|
E860772
|
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: LSC | Statement: [Lincoln Mark VII, trimLevel, LSC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSC Context triple: [Lincoln Mark VII, trimLevel, LSC]
-
A.
LSC
LSC is the IATA airport code for La Florida Airport, which serves the city of La Serena in Chile.
-
B.
LSC
LSC is the international scientific collaboration responsible for operating the LIGO detectors and analyzing their data to study gravitational waves.
-
C.
Law Center
The Law Center is the University of Houston’s professional school for legal education, offering J.D. and graduate law programs and serving as a hub for legal scholarship and practice.
-
D.
LSCC
LSCC is the stock ticker symbol for Lattice Semiconductor Corporation, a company specializing in low-power programmable logic devices.
-
E.
Legal Services Board
The Legal Services Board is the independent oversight regulator for legal services in England and Wales, responsible for supervising frontline regulators and promoting the public interest in the legal sector.
- 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: LSC Triple: [Lincoln Mark VII, trimLevel, LSC]
Generated description
LSC is a high-performance luxury trim level of the Lincoln Mark VII, emphasizing sportier styling and upgraded features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSC Target entity description: LSC is a high-performance luxury trim level of the Lincoln Mark VII, emphasizing sportier styling and upgraded features.
-
A.
LSC
LSC is the IATA airport code for La Florida Airport, which serves the city of La Serena in Chile.
-
B.
LSC
LSC is the international scientific collaboration responsible for operating the LIGO detectors and analyzing their data to study gravitational waves.
-
C.
Law Center
The Law Center is the University of Houston’s professional school for legal education, offering J.D. and graduate law programs and serving as a hub for legal scholarship and practice.
-
D.
LSCC
LSCC is the stock ticker symbol for Lattice Semiconductor Corporation, a company specializing in low-power programmable logic devices.
-
E.
Legal Services Board
The Legal Services Board is the independent oversight regulator for legal services in England and Wales, responsible for supervising frontline regulators and promoting the public interest in the legal sector.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.