Triple
T18118808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Saint George (Lod) |
E433678
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Lod city center
Lod city center is the main commercial and civic hub of the city of Lod in central Israel, featuring shops, services, and historic sites.
|
E1306685
|
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: Lod city center | Statement: [Church of Saint George (Lod), near, Lod city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lod city center Context triple: [Church of Saint George (Lod), near, Lod city center]
-
A.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
B.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
C.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
D.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
E.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
- 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: Lod city center Triple: [Church of Saint George (Lod), near, Lod city center]
Generated description
Lod city center is the main commercial and civic hub of the city of Lod in central Israel, featuring shops, services, and historic sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lod city center Target entity description: Lod city center is the main commercial and civic hub of the city of Lod in central Israel, featuring shops, services, and historic sites.
-
A.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
B.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
C.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
D.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
E.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd843e88190abbc173dbc9b450a |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c434db081909033b922a1aa2f57 |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037e03d37c819093ef34d1752f6c01 |
completed | May 12, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037f09a0b48190942cd8a6184a68fb |
completed | May 12, 2026, 7:27 p.m. |
Created at: April 10, 2026, 10:28 a.m.