Triple
T37701064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burj al-Ikrām |
E939061
|
entity |
| Predicate | associatedStructureName |
P204348
|
FINISHED |
| Object | Tower of Homage |
E277165
|
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: Tower of Homage | Statement: [Burj al-Ikrām, associatedStructureName, Tower of Homage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStructureName Context triple: [Burj al-Ikrām, associatedStructureName, Tower of Homage]
-
A.
associatesStructure
Indicates a relationship where one entity is linked or connected to a particular structure, typically to denote that the structure is relevant, attached, or functionally associated with it.
-
B.
linkedByStructure
Indicates that two entities are connected or associated through a shared structural element, configuration, or framework.
-
C.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
D.
associatedBase
Indicates a relationship where one entity is linked or connected to a corresponding base entity that it depends on or is derived from.
-
E.
usedStructure
Indicates that one entity makes use of, relies on, or operates through a particular structure (physical, logical, or organizational) to perform its function or action.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40cdc807fc8190b79dc30445c484d0 |
completed | June 28, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.