Triple
T384891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transamerica Pyramid |
E8758
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
SHVO
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
|
E48777
|
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: SHVO | Statement: [Transamerica Pyramid, owner, SHVO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHVO Context triple: [Transamerica Pyramid, owner, SHVO]
-
A.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
B.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
- 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: SHVO Triple: [Transamerica Pyramid, owner, SHVO]
Generated description
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHVO Target entity description: SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
-
A.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
B.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
E.
LUV
LUV is the stock ticker symbol for Southwest Airlines, a major U.S. low-cost airline known for its extensive domestic route network and no-frills service model.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe95c7088190a1538eecb2ac6955 |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3fec1294c8190bff1dc2c8ec6bfb0 |
completed | March 1, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ff1db088819087542685fbad01ad |
completed | March 1, 2026, 8:55 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.