Triple
T32920954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habitat Agenda |
E842141
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Global Plan of Action
The Global Plan of Action is an international framework that outlines concrete strategies and commitments for sustainable human settlements and urban development under the Habitat Agenda.
|
E2027964
|
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: Global Plan of Action | Statement: [Habitat Agenda, contains, Global Plan of Action]
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: Global Plan of Action Triple: [Habitat Agenda, contains, Global Plan of Action]
Generated description
The Global Plan of Action is an international framework that outlines concrete strategies and commitments for sustainable human settlements and urban development under the Habitat Agenda.
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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d6bee48190a50f31472b3e1006 |
completed | May 3, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c6a1ec3081909ef04a51cd49be35 |
completed | June 19, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_6a34c85cab748190abd850dca56c39ac |
completed | June 19, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34c93dd1d48190b67b29c885246998 |
completed | June 19, 2026, 4:44 a.m. |
Created at: May 1, 2026, 1:19 a.m.