Triple
T32824194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linde |
E839509
|
entity |
| Predicate | eraSequenceWithinGaozongReign |
P174198
|
FINISHED |
| Object |
follows Longshuo and precedes Qianfeng
Linde was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
|
E2024270
|
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: follows Longshuo and precedes Qianfeng | Statement: [Linde, eraSequenceWithinGaozongReign, follows Longshuo and precedes Qianfeng]
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: follows Longshuo and precedes Qianfeng Triple: [Linde, eraSequenceWithinGaozongReign, follows Longshuo and precedes Qianfeng]
Generated description
Linde was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraSequenceWithinGaozongReign Context triple: [Linde, eraSequenceWithinGaozongReign, follows Longshuo and precedes Qianfeng]
-
A.
eraSequenceInEmperorLingReign
Indicates that one era directly follows another within the chronological sequence of Emperor Ling’s reign.
-
B.
eraSequenceWithinDynasty
Indicates that one historical era occurs in a specific ordered position relative to another era within the same dynasty.
-
C.
eraSequenceInEasternWu
Indicates that one era chronologically follows another within the historical sequence of Eastern Wu.
-
D.
eraSequenceInReign
chosen
Indicates the ordinal position of a specific era within the chronological sequence of eras that occur during a particular ruler’s reign.
-
E.
eraNumberInReignOfEmperorWu
Indicates the specific numbered era within the reign period of Emperor Wu to which something (such as a date or event) belongs.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34b1854b9c8190963e9f13eabeec68 |
completed | June 19, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_6a34b28809fc819090b804d470dba1b3 |
completed | June 19, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34b3356258819086890e71c40d1f9b |
completed | June 19, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:15 a.m.